Upload README.md

README.md

@@ -1,69 +1,202 @@
 ---
 base_model: unsloth/Mistral-Nemo-Base-2407-bnb-4bit
-library_name: transformers
-language:
-- ar
-pipeline_tag: text-generation
+library_name: peft
 ---
 
+# Model Card for Model ID
 
+<!-- Provide a quick summary of what the model is/does. -->
 
-- **Developed by:** Mahmoud Ibrahim
 
-- 
-**How to use :**
 
-``` bush
-! pip install transformers bitsandbytes
-```
+## Model Details
 
-```python
-from transformers import AutoTokenizer, AutoModelForCausalLM
-from IPython.display import Markdown
-import textwrap 
+### Model Description
 
-# Load tokenizer and model
-tokenizer = AutoTokenizer.from_pretrained("MahmoudIbrahim/Mistral_12b_Arabic")
-model = AutoModelForCausalLM.from_pretrained("MahmoudIbrahim/Mistral_12b_Arabic",load_in_4bit =True)
+<!-- Provide a longer summary of what this model is. -->
 
-alpaca_prompt = """فيما يلي تعليمات تصف مهمة، إلى جانب مدخل يوفر سياقاً إضافياً. اكتب استجابة تُكمل الطلب بشكل مناسب.
 
-### التعليمات:
-{}
 
-### الاستجابة:
-{}"""
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
 
-# Format the prompt with instruction and an empty output placeholder
-formatted_prompt = alpaca_prompt.format(
-    "كيف يمكن للحكومة المصرية والمجتمع ككل أن يعززوا من قدرة البلاد على تحقيق التنمية المستدامة؟ "   ,  # instruction
-    ""  # Leave output blank for generation
-)
+### Model Sources [optional]
 
-# Tokenize the formatted string directly
-input_ids = tokenizer.encode(formatted_prompt, return_tensors="pt")  # Use 'cuda' if you want to run on GPU
+<!-- Provide the basic links for the model. -->
 
-def to_markdown(text):
-    text = text.replace('•','*')
-    return Markdown(textwrap.indent(text, '>', predicate=lambda _: True))
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
 
-# Generate text
-output = model.generate(
-    input_ids,
-    max_length=200,            # Adjust max length as needed
-    num_return_sequences=1,     # Number of generated responses
-    no_repeat_ngram_size=2,     # Prevent repetition
-    top_k=50,                   # Filter to top-k tokens
-    top_p=0.9,                  # Use nucleus sampling
-    temperature=0.7 ,            # Control creativity level
-  
-)
+## Uses
 
-generated_text = tokenizer.decode(output[0], skip_special_tokens=True)
-to_markdown(generated_text)
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
 
-```
+### Direct Use
 
-**The model response  :**
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
 
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/64f36b5377b0eb97ea124e32/DPdKT-kQiDtfulJ-qQ8DX.png)
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.13.2