--- library_name: transformers tags: - trl - orpo license: apache-2.0 datasets: - mlabonne/orpo-dpo-mix-40k language: - en --- # Chat version using ChatML format: https://huggingface.co/NotAiLOL/Athena-OrpoMistral-7B-Chat-v0.1 # Model Card for Model ID ## Model Details ### Model Description This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** Liu Hong Yuan Tom - **Funded by [optional]:** N/A - **Shared by [optional]:** N/A - **Model type:** Mistral - **Language(s) (NLP):** [More Information Needed] - **License:** Apache 2.0 - **Finetuned from model [optional]:** [mistralai/Mistral-7B-Instruct-v0.1](mistralai/Mistral-7B-Instruct-v0.1) ### Model Sources [optional] - **Repository:** N/A - **Paper [optional]:** N/A - **Demo [optional]:** N/A ## Uses ### Direct Use ### Downstream Use [optional] [More Information Needed] ### Out-of-Scope Use [More Information Needed] ## Bias, Risks, and Limitations [More Information Needed] ### 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. To be included. ## Training Details ### Training Data Dataset used: [mlabonne/orpo-dpo-mix-40k](https://huggingface.co/datasets/mlabonne/orpo-dpo-mix-40k) by [Maxime Labonne](https://huggingface.co/mlabonne). ### Training Procedure * Plateform: Kaggle * GPU: 1 x NVIDIA Tesla P100 More details at [Wandb](https://wandb.ai/liuhongyuan3000/huggingface/reports/Fine-Tuning-Mistral-7B-Instruct-v0-1--Vmlldzo3ODQ2NDc2?accessToken=nuv9ds79uglgqfav83jz6058y59tgb1la7o6fed3dzlgaku95h50ofnch5akqn8a). #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] #### Speeds, Sizes, Times [optional] [More Information Needed] ## Evaluation ### Testing Data, Factors & Metrics #### Testing Data [More Information Needed] #### Factors [More Information Needed] #### Metrics [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] [More Information Needed] ## Environmental Impact 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] **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]