Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
Model Details
Model Description
- Developed by: ktabuchi
- Model type: [More Information Needed]
- Language(s) (NLP): [More Information Needed]
- License: [More Information Needed]
- Finetuned from model [optional]: [More Information Needed]
Model Sources [optional]
- Repository: ktabuchi
Uses
For Academic lessons of Matsuo-LLM Lectures
Direct Use
Out-of-Scope Use
Bias, Risks, and Limitations
Recommendations
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
https://liat-aip.sakura.ne.jp/wp/llmのための日本語インストラクションデータ作成/llmのための日本語インストラクションデータ-公開/
[More Information Needed]
Training Procedure
Training Hyperparameters
- Training regime: [More Information Needed]
Evaluation
Testing Data, Factors & Metrics
Testing Data
elyza-tasks-100-TV_0.jsonl
[More Information Needed]
Factors
[More Information Needed]
Metrics
[More Information Needed]
Results
[More Information Needed]
Summary
Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
- Hardware Type:
- Hours used: 10
- Cloud Provider: Google Colab
- Compute Region: A100
- Carbon Emitted: [More Information Needed]
Model Architecture and Objective
For Academic Use
Compute Infrastructure
[More Information Needed]
Hardware
[More Information Needed]
Software
[More Information Needed]
BibTeX:
[More Information Needed]
APA:
[More Information Needed]
[More Information Needed]
Model Card Contact
[More Information Needed]
Model tree for ktabuchi/LLM_base_1214
Base model
llm-jp/llm-jp-3-13b