Initial commit

app.py

@@ -0,0 +1,222 @@
+import os
+import yaml
+import gradio as gr
+import pandas as pd
+
+# ---- Model Class ---- #
+class Model:
+    def __init__(self, model_data):
+        """
+        Initializes the model with the provided model_data dictionary (from YAML).
+        """
+        self.data = model_data
+
+    def get_name(self):
+        return self.data.get("release", {}).get("name", "Unknown")
+
+    def get_producer(self):
+        return self.data.get("release", {}).get("producer", "Unknown")
+
+    def get_classification(self):
+        return self.data.get("release", {}).get("classification", "Unclassified")
+
+    def get_last_updated(self):
+        return self.data.get("release", {}).get("date", "Unknown")
+
+    def get_badge(self):
+        return self.data.get("release", {}).get("badge", "")
+
+# ---- Load and Process Models in a Directory ---- #
+def load_all_models(directory):
+    """
+    Load all models from the specified directory.
+    Each model is expected to have a .yml file.
+    """
+    models_data = []
+
+    for filename in os.listdir(directory):
+        if filename.endswith(".yml"):
+            filepath = os.path.join(directory, filename)
+            # Specify encoding as 'utf-8' to avoid decoding issues
+            with open(filepath, 'r', encoding='utf-8') as file:
+                model_data = yaml.safe_load(file)
+                model = Model(model_data)
+
+                # Append the model information to our list
+                models_data.append({
+                    "Name": model.get_name(),
+                    "Organization": model.get_producer(),
+                    "Classification": model.get_classification(),
+                    "Last Updated": model.get_last_updated(),
+                    "Badge": model.get_badge()
+                })
+
+    return models_data
+
+# ---- Convert Model Data to a DataFrame ---- #
+def get_model_table(directory):
+    """
+    Get a table of all models and their information.
+    """
+    models_data = load_all_models(directory)
+
+    # Create a Pandas DataFrame for easy table generation
+    df = pd.DataFrame(models_data)
+    return df
+
+# ---- Global DataFrame ---- #
+# Load the data once and reuse it for filtering and pagination
+directory = "./models"  # You can change this to your actual models folder path
+global_df = get_model_table(directory)
+
+# ---- Filtering and Pagination Functions ---- #
+def filter_data(name_query, org_query):
+    """
+    Filter the global dataframe based on the search queries.
+    """
+    df = global_df.copy()
+    if name_query:
+        df = df[df['Name'].str.contains(name_query, case=False, na=False)]
+    if org_query:
+        df = df[df['Organization'].str.contains(org_query, case=False, na=False)]
+    return df.reset_index(drop=True)
+
+def paginate_data(df, page_size, page_number):
+    """
+    Paginate the filtered dataframe.
+    """
+    total_rows = len(df)
+    total_pages = (total_rows + page_size - 1) // page_size  # Calculate total pages
+
+    # Ensure page_number is within valid range
+    if page_number < 1:
+        page_number = 1
+    elif page_number > total_pages:
+        page_number = total_pages
+
+    start_row = (page_number - 1) * page_size
+    end_row = start_row + page_size
+    page_data = df.iloc[start_row:end_row]
+    return page_data, total_pages
+
+# ---- Gradio Interface ---- #
+def update_table(name_query, org_query, page_size, page_number):
+    """
+    Update the table based on search queries and pagination.
+    """
+    filtered_df = filter_data(name_query, org_query)
+    page_size = int(page_size)
+    page_number = int(page_number)
+    page_data, total_pages = paginate_data(filtered_df, page_size, page_number)
+    return page_data, total_pages
+
+def go_to_page(name_query, org_query, page_size, go_to_page_number):
+    """
+    Go to a specific page number.
+    """
+    return update_table(name_query, org_query, page_size, go_to_page_number)
+
+# Define the Gradio interface using Blocks
+with gr.Blocks() as demo:
+    # MOF Description
+    gr.Markdown("""
+    # Model Openness Framework (MOF)
+
+    The Generative AI Commons at the LF AI & Data Foundation has designed and developed the **Model Openness Framework (MOF)**, a comprehensive system for evaluating and classifying the completeness and openness of machine learning models. This framework assesses which components of the model development lifecycle are publicly released and under what licenses, ensuring an objective evaluation. The framework is constantly evolving. Please participate in the Generative AI Commons to provide feedback and suggestions.
+
+    ## Model Openness Tool (MOT)
+
+    To implement the MOF, we’ve created the **Model Openness Tool (MOT)**. This tool evaluates each criterion from the MOF and generates a score based on how well each item is met. The MOT provides a practical, user-friendly way to apply the MOF framework to your model and produce a clear, self-service score.
+
+    ### How It Works
+
+    The MOT presents users with 16 questions about their model. Users need to provide detailed responses for each question. Based on these inputs, the tool calculates a score, classifying the model’s openness on a scale of 1, 2, or 3.
+
+    ### Why We Developed MOT
+
+    Our goal in developing the MOT was to offer a straightforward tool for evaluating machine learning models against the MOF framework. This tool helps users understand what components are included with each model and the licenses associated with those components, providing clarity on what can and cannot be done with the model and its parts.
+
+    **Explore the Model Openness Framework and try the [Model Openness Tool](https://mot.isitopen.ai/) today to see how your models measure up.**
+    """)
+
+    # Search Filters
+    with gr.Row():
+        name_query = gr.Textbox(label="Search by Name")
+        org_query = gr.Textbox(label="Search by Organization")
+
+    # Table and Pagination Controls
+    with gr.Column():
+        # Initialize with the first page of data
+        initial_page_data, initial_total_pages = paginate_data(global_df, page_size=50, page_number=1)
+        table_output = gr.Dataframe(
+            value=initial_page_data,
+            headers=["Name", "Organization", "Classification", "Last Updated", "Badge"],
+            label="Models Table"
+        )
+
+        # Pagination Controls
+        with gr.Row():
+            prev_button = gr.Button("← Previous")
+            next_button = gr.Button("Next →")
+            page_numbers = gr.State(value=1)  # Keep track of the current page
+            total_pages_text = gr.Markdown(value=f"Page 1 of {initial_total_pages}")
+            go_to_input = gr.Number(label="Go to Page", value=1, precision=0)
+            go_to_button = gr.Button("Go")
+
+    # Event Handlers
+    def update_pagination(name_query, org_query, page_size, page_number):
+        page_data, total_pages = update_table(name_query, org_query, page_size, page_number)
+        total_pages_text.value = f"Page {page_number} of {total_pages}"
+        return page_data, total_pages_text.value, page_number
+
+    # When search filters change, reset to page 1
+    def on_search_change(name_query, org_query):
+        page_data, total_pages = update_table(name_query, org_query, page_size=50, page_number=1)
+        total_pages_text.value = f"Page 1 of {total_pages}"
+        return page_data, total_pages_text.value, 1
+
+    name_query.change(
+        fn=on_search_change,
+        inputs=[name_query, org_query],
+        outputs=[table_output, total_pages_text, page_numbers]
+    )
+    org_query.change(
+        fn=on_search_change,
+        inputs=[name_query, org_query],
+        outputs=[table_output, total_pages_text, page_numbers]
+    )
+
+    # Previous Button
+    def on_prev(name_query, org_query, page_size, current_page):
+        new_page = max(1, current_page - 1)
+        return update_pagination(name_query, org_query, page_size, new_page)
+
+    prev_button.click(
+        fn=on_prev,
+        inputs=[name_query, org_query, gr.State(value=50), page_numbers],
+        outputs=[table_output, total_pages_text, page_numbers]
+    )
+
+    # Next Button
+    def on_next(name_query, org_query, page_size, current_page):
+        new_page = current_page + 1
+        return update_pagination(name_query, org_query, page_size, new_page)
+
+    next_button.click(
+        fn=on_next,
+        inputs=[name_query, org_query, gr.State(value=50), page_numbers],
+        outputs=[table_output, total_pages_text, page_numbers]
+    )
+
+    # Go To Page
+    def on_go(name_query, org_query, page_size, go_to_page_number):
+        return update_pagination(name_query, org_query, page_size, int(go_to_page_number))
+
+    go_to_button.click(
+        fn=on_go,
+        inputs=[name_query, org_query, gr.State(value=50), go_to_input],
+        outputs=[table_output, total_pages_text, page_numbers]
+    )
+
+# Launch the Gradio app
+demo.launch()

models/Amber.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: Amber
+  version: 7B
+  date: '2024-10-03'
+  type: language
+  architecture: 'transformer decoder'
+  origin: Amber
+  producer: LLM360
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''

models/Aquila-7B.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: Aquila-7B
+  version: 7B
+  date: '2024-10-03'
+  type: language
+  architecture: 'transformer decoder'
+  origin: ''
+  producer: BAAI
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'BAAI Aquila Model License'
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''

models/AraGPT2.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: AraGPT2
+  version: 1.5B
+  date: '2024-10-03'
+  type: language
+  architecture: 'transformer decoder'
+  origin: ''
+  producer: 'American University of Beirut'
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''

models/Arctic-Base.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: Arctic-Base
+  version: 480B
+  date: '2024-10-03'
+  type: language
+  architecture: 'transformer decoder'
+  origin: Arctic-Base
+  producer: Snowflake
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''

models/Arctic-Instruct.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: Arctic-Instruct
+  version: 480B
+  date: '2024-10-03'
+  type: language
+  architecture: 'transformer decoder'
+  origin: Arctic-Base
+  producer: Snowflake
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''

models/BLOOM.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: BLOOM
+  version: 176B
+  date: '2024-10-03'
+  type: language
+  architecture: 'transformer decoder'
+  origin: ''
+  producer: BigScience
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: bigscience-bloom-rail-1.0
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'BigScience RAIL License v1.0'
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''

models/BTLM-3B-8k-base-.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: BTLM-3B-8k-base-
+  version: 3B
+  date: '2024-10-03'
+  type: language
+  architecture: 'transformer decoder'
+  origin: ''
+  producer: Cerebras
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''

models/Baichuan-1-13B.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: Baichuan-1-13B
+  version: 13B
+  date: '2024-10-03'
+  type: language
+  architecture: 'transformer decoder'
+  origin: Baichuan-1
+  producer: 'Baichuan AI'
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''

models/Baichuan-1-53B.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: Baichuan-1-53B
+  version: 53B
+  date: '2024-10-03'
+  type: language
+  architecture: 'transformer decoder'
+  origin: Baichuan-1
+  producer: 'Baichuan AI'
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''

models/Baichuan-1-7B.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: Baichuan-1-7B
+  version: 7B
+  date: '2024-10-03'
+  type: language
+  architecture: 'transformer decoder'
+  origin: Baichuan-1
+  producer: 'Baichuan AI'
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Baichuan-7B License'
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''

models/Baichuan-2.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: Baichuan-2
+  version: 13B
+  date: '2024-10-03'
+  type: language
+  architecture: 'transformer decoder'
+  origin: Baichuan-2
+  producer: 'Baichuan AI'
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''

models/Bilingual-gpt-neox-4b.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: Bilingual-gpt-neox-4b
+  version: 3.8B
+  date: '2024-10-03'
+  type: language
+  architecture: 'transformer decoder'
+  origin: GPT-NeoX
+  producer: Rinna
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: 'MIT license'
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: MIT
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'mc4, cc100, wikipedia, EleutherAI/pile, togethercomputer/RedPajama-Data-1T'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''

models/BioMedGPT.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: BioMedGPT
+  version: 2.7B
+  date: '2024-10-03'
+  type: language
+  architecture: 'transformer decoder'
+  origin: ''
+  producer: 'Stanford CRFM'
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: bigscience-bloom-rail-1.0
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: bigscience-bloom-rail-1.0
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: pubmed
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: bigscience-bloom-rail-1.0
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''

models/BlackMamba-2.8B.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: BlackMamba-2.8B
+  version: 2.8B
+  date: '2024-10-03'
+  type: language
+  architecture: ''
+  origin: ''
+  producer: Zyphra
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''

models/BloombergGPT.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: BloombergGPT
+  version: 50B
+  date: '2024-10-03'
+  type: language
+  architecture: 'transformer decoder'
+  origin: ''
+  producer: Bloomberg
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: Undisclosed
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: Undisclosed
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: Undisclosed
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: Undisclosed
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: Undisclosed
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: Undisclosed
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: Undisclosed
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: Undisclosed
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: Undisclosed
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: Undisclosed
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: Undisclosed
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: Undisclosed
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: Undisclosed
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: Undisclosed
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: Undisclosed
+      license_path: ''

models/ByT5.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: ByT5
+  version: 13B
+  date: '2024-10-03'
+  type: language
+  architecture: 'transformer encoder-decoder'
+  origin: ''
+  producer: Google
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''

models/CPM-2.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: CPM-2
+  version: 11B
+  date: '2024-10-03'
+  type: language
+  architecture: decoder
+  origin: ''
+  producer: 'Tsinghua University'
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''

models/CPM.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: CPM
+  version: 2.6B
+  date: '2024-10-03'
+  type: language
+  architecture: decoder
+  origin: ''
+  producer: 'Tsinghua University'
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''

models/CerebrasGPT.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: CerebrasGPT
+  version: 13B
+  date: '2024-10-03'
+  type: language
+  architecture: 'transformer decoder'
+  origin: ''
+  producer: Cerebras
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''

models/ChatGLM.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: ChatGLM
+  version: 6B
+  date: '2024-10-03'
+  type: language
+  architecture: 'transformer decoder'
+  origin: ''
+  producer: 'Tsinghua University'
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'ChatGLM-6B License'
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''

models/ChatGLM2.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: ChatGLM2
+  version: 6B
+  date: '2024-10-03'
+  type: language
+  architecture: 'transformer decoder'
+  origin: ChatGLM3-6B-Base
+  producer: 'Tsinghua University'
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'ChatGLM2-6B License'
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''

models/ChatGLM3.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: ChatGLM3
+  version: 6B
+  date: '2024-10-03'
+  type: language
+  architecture: 'transformer decoder'
+  origin: ChatGLM3-6B-Base
+  producer: 'Tsinghua University'
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'ChatGLM3-6B License'
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''

models/Chinchilla.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: Chinchilla
+  version: 70B
+  date: '2024-10-03'
+  type: language
+  architecture: 'transformer decoder'
+  origin: ''
+  producer: DeepMind
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''

models/Claude-1.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: Claude-1
+  version: Undisclosed
+  date: '2024-10-03'
+  type: language
+  architecture: undisclosed
+  origin: ''
+  producer: Anthropic
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: 'MIT license'
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: MIT
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''

models/Claude-2.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: Claude-2
+  version: Undisclosed
+  date: '2024-10-03'
+  type: language
+  architecture: undisclosed
+  origin: Claude-1
+  producer: Anthropic
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: 'MIT license'
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: MIT
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''

models/CodeFuse.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: CodeFuse
+  version: 13B
+  date: '2024-10-03'
+  type: code
+  architecture: 'transformer decoder'
+  origin: ''
+  producer: 'Ant Group'
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'CodeFuse COMMUNITY LICENSE '
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''

models/CodeGemma-2B.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: CodeGemma-2B
+  version: 2B
+  date: '2024-10-03'
+  type: code
+  architecture: 'transformer decoder'
+  origin: Gemma
+  producer: Google
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: Gemma
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: gemma
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: gemma
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''

models/CodeGemma-7B-Instruct.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: CodeGemma-7B-Instruct
+  version: 7B
+  date: '2024-10-03'
+  type: code
+  architecture: 'transformer decoder'
+  origin: Gemma
+  producer: Google
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: Gemma
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: gemma
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: gemma
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''

models/CodeGemma-7B.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: CodeGemma-7B
+  version: 7B
+  date: '2024-10-03'
+  type: code
+  architecture: 'transformer decoder'
+  origin: Gemma
+  producer: Google
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: Gemma
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: gemma
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: gemma
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''

models/CodeGen.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: CodeGen
+  version: 16B
+  date: '2024-10-03'
+  type: code
+  architecture: 'transformer decoder'
+  origin: ''
+  producer: Salesforce
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: BSD
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''

models/CodeGen2.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: CodeGen2
+  version: 16B
+  date: '2024-10-03'
+  type: code
+  architecture: 'transformer decoder'
+  origin: ''
+  producer: Salesforce
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''

models/CodeT5+-16B.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: CodeT5+-16B
+  version: 16B
+  date: '2024-10-03'
+  type: code
+  architecture: 'transformer encoder-decoder'
+  origin: ''
+  producer: Salesforce
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: BSD-3
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: BSD-3
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: BSD-3
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'datasets with "mit" “apache-2”, “bsd-3-clause”, “bsd-2-clause”, “cc0-1.0”, “unlicense”, “isc”'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''

models/CodeT5+-220M.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: CodeT5+-220M
+  version: 220M
+  date: '2024-10-03'
+  type: code
+  architecture: 'transformer encoder-decoder'
+  origin: ''
+  producer: Salesforce
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: BSD-3
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: BSD-3
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: BSD-3
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'datasets with "mit" “apache-2”, “bsd-3-clause”, “bsd-2-clause”, “cc0-1.0”, “unlicense”, “isc”'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''

models/CodeT5+-2B.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: CodeT5+-2B
+  version: 2B
+  date: '2024-10-03'
+  type: code
+  architecture: 'transformer encoder-decoder'
+  origin: ''
+  producer: Salesforce
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: BSD-3
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: BSD-3
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: BSD-3
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'datasets with "mit" “apache-2”, “bsd-3-clause”, “bsd-2-clause”, “cc0-1.0”, “unlicense”, “isc”'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''

models/CodeT5+-6B.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: CodeT5+-6B
+  version: 6B
+  date: '2024-10-03'
+  type: code
+  architecture: 'transformer encoder-decoder'
+  origin: ''
+  producer: Salesforce
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: BSD-3
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: BSD-3
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: BSD-3
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'datasets with "mit" “apache-2”, “bsd-3-clause”, “bsd-2-clause”, “cc0-1.0”, “unlicense”, “isc”'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''

models/CodeT5+-770M.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: CodeT5+-770M
+  version: 770M
+  date: '2024-10-03'
+  type: code
+  architecture: 'transformer encoder-decoder'
+  origin: ''
+  producer: Salesforce
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: BSD-3
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: BSD-3
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: BSD-3
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'datasets with "mit" “apache-2”, “bsd-3-clause”, “bsd-2-clause”, “cc0-1.0”, “unlicense”, “isc”'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''

models/CodeT5.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: CodeT5
+  version: 16B
+  date: '2024-10-03'
+  type: code
+  architecture: 'transformer encoder-decoder'
+  origin: ''
+  producer: Salesforce
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: BSD-3
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: BSD-3
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: BSD-3
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''

models/Codegen2.5.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: Codegen2.5
+  version: 7B
+  date: '2024-10-03'
+  type: code
+  architecture: 'transformer decoder'
+  origin: ''
+  producer: Salesforce
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: BSD-3
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: BSD-3
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'License only specified in original dataset starcoderdata'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''

models/Codex.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: Codex
+  version: Undisclosed
+  date: '2024-10-03'
+  type: code
+  architecture: 'transformer decoder'
+  origin: ''
+  producer: OpenAI
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''

models/Command-R+.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: Command-R+
+  version: 104B
+  date: '2024-10-03'
+  type: language
+  architecture: undisclosed
+  origin: ''
+  producer: Cohere
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: CC-BY-NC-4.0
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''

models/Command-R.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: Command-R
+  version: 35B
+  date: '2024-10-03'
+  type: language
+  architecture: undisclosed
+  origin: ''
+  producer: Cohere
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: CC-BY-NC-4.0
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''

models/CrystalChat.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: CrystalChat
+  version: 7B
+  date: '2024-10-03'
+  type: language
+  architecture: decoder
+  origin: Crystal
+  producer: LLM360
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''

models/CrystalCoder.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: CrystalCoder
+  version: 7B
+  date: '2024-10-03'
+  type: code
+  architecture: decoder
+  origin: Crystal
+  producer: LLM360
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''

models/DeBERTa.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: DeBERTa
+  version: 1.5B
+  date: '2024-10-03'
+  type: language
+  architecture: encoder
+  origin: ''
+  producer: Microsoft
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: 'MIT license'
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: MIT
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''

models/DeciCoder.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: DeciCoder
+  version: 1B
+  date: '2024-10-03'
+  type: language
+  architecture: decoder
+  origin: ''
+  producer: Deci
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: Apache-2.0
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''

models/DeepSeek-Coder.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: DeepSeek-Coder
+  version: 33B
+  date: '2024-10-03'
+  type: language
+  architecture: 'transformer decoder'
+  origin: ''
+  producer: DeepSeek
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: 'MIT license'
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''

models/DeepSeek-MoE-145B.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: DeepSeek-MoE-145B
+  version: 145B
+  date: '2024-10-03'
+  type: language
+  architecture: ''
+  origin: DeepSeek-MoE-16B
+  producer: 'DeepSeek AI'
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'Pending evaluation'
+      license_path: ''

models/DeepSeek-MoE-16B.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: DeepSeek-MoE-16B
+  version: 16.4B
+  date: '2024-10-03'
+  type: language
+  architecture: ''
+  origin: ''
+  producer: 'DeepSeek AI'
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: 'MIT license'
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: 'Component not included'
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''

models/Dou-Bao.yml

@@ -0,0 +1,116 @@
+framework:
+  name: 'Model Openness Framework'
+  version: '1.0'
+  date: '2024-12-15'
+release:
+  name: Dou-Bao
+  version: Undisclosed
+  date: '2024-10-03'
+  type: language
+  architecture: undisclosed
+  origin: ''
+  producer: ByteDance
+  contact: ''
+  components:
+    -
+      name: 'Model architecture'
+      description: "Well commented code for the model's architecture"
+      location: ''
+      license_name: Undisclosed
+      license_path: ''
+    -
+      name: 'Data preprocessing code'
+      description: 'Code for data cleansing, normalization, and augmentation'
+      location: ''
+      license_name: Undisclosed
+      license_path: ''
+    -
+      name: 'Training code'
+      description: 'Code used for training the model'
+      location: ''
+      license_name: Undisclosed
+      license_path: ''
+    -
+      name: 'Inference code'
+      description: 'Code used for running the model to make predictions'
+      location: ''
+      license_name: Undisclosed
+      license_path: ''
+    -
+      name: 'Evaluation code'
+      description: 'Code used for evaluating the model'
+      location: ''
+      license_name: Undisclosed
+      license_path: ''
+    -
+      name: 'Supporting libraries and tools'
+      description: "Libraries and tools used in the model's development"
+      location: ''
+      license_name: Undisclosed
+      license_path: ''
+    -
+      name: 'Model parameters (Final)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: Undisclosed
+      license_path: ''
+    -
+      name: 'Model parameters (Intermediate)'
+      description: 'Trained model parameters, weights and biases'
+      location: ''
+      license_name: Undisclosed
+      license_path: ''
+    -
+      name: Datasets
+      description: 'Training, validation and testing datasets used for the model'
+      location: ''
+      license_name: Undisclosed
+      license_path: ''
+    -
+      name: 'Evaluation data'
+      description: 'Data used for evaluating the model'
+      location: ''
+      license_name: Undisclosed
+      license_path: ''
+    -
+      name: 'Model metadata'
+      description: 'Any model metadata including training configuration and optimizer states'
+      location: ''
+      license_name: Undisclosed
+      license_path: ''
+    -
+      name: 'Sample model outputs'
+      description: 'Examples of outputs generated by the model'
+      location: ''
+      license_name: Undisclosed
+      license_path: ''
+    -
+      name: 'Model card'
+      description: 'Model details including performance metrics, intended use, and limitations'
+      location: ''
+      license_name: Undisclosed
+      license_path: ''
+    -
+      name: 'Data card'
+      description: 'Documentation for datasets including source, characteristics, and preprocessing details'
+      location: ''
+      license_name: Undisclosed
+      license_path: ''
+    -
+      name: 'Technical report'
+      description: 'Technical report detailing capabilities and usage instructions for the model'
+      location: ''
+      license_name: Undisclosed
+      license_path: ''
+    -
+      name: 'Research paper'
+      description: 'Research paper detailing the development and capabilities of the model'
+      location: ''
+      license_name: 'License not specified'
+      license_path: ''
+    -
+      name: 'Evaluation results'
+      description: 'The results from evaluating the model'
+      location: ''
+      license_name: Undisclosed
+      license_path: ''