| | --- |
| | datasets: |
| | - stingning/ultrachat |
| | --- |
| | # UltraLM-13b |
| |
|
| | <!-- Provide a quick summary of what the model is/does. --> |
| |
|
| | This is UltraLM-13b delta weights, a chat language model trained upon [UltraChat](https://github.com/thunlp/UltraChat) |
| |
|
| |
|
| | ## Model Details |
| |
|
| | ### Model Description |
| |
|
| | <!-- Provide a longer summary of what this model is. --> |
| |
|
| | The model is fine-tuned based on LLaMA-13b with a multi-turn chat-format template as below |
| |
|
| | ``` |
| | User: instruction 1<eos_token> |
| | Assistant: response 1<eos_token> |
| | User: instruction 2<eos_token> |
| | Assistant: response 2<eos_token> |
| | ... |
| | ``` |
| |
|
| | - **License:** UltraLM is based on LLaMA and should be used under LLaMA's [model license](https://github.com/facebookresearch/llama/blob/main/MODEL_CARD.md). |
| | - **Finetuned from model:** LLaMA-13b |
| | - **Finetuned on data:** [UltraChat](https://github.com/thunlp/UltraChat) |
| |
|
| | ### Model Sources |
| |
|
| | <!-- Provide the basic links for the model. --> |
| |
|
| | - **Repository:** [UltraChat](https://github.com/thunlp/UltraChat) |
| | - **Paper:** [arxiv](https://arxiv.org/abs/2305.14233) |
| | - **Demo:** [More Information Needed] |
| |
|
| | ## Uses |
| |
|
| | <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> |
| | To use this model, you need to [recover](https://github.com/thunlp/UltraChat/tree/main/UltraLM) the full model from the delta weights and perform inference following the template below: |
| |
|
| | ``` |
| | [Optional]User: system prompt<eos_token> |
| | User: user input<eos_token> |
| | Assistant: |
| | ``` |
| |
|
| | # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
| | Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_openbmb__UltraLM-13b) |
| |
|
| | | Metric | Value | |
| | |-----------------------|---------------------------| |
| | | Avg. | 25.25 | |
| | | ARC (25-shot) | 29.44 | |
| | | HellaSwag (10-shot) | 25.99 | |
| | | MMLU (5-shot) | 23.12 | |
| | | TruthfulQA (0-shot) | 48.61 | |
| | | Winogrande (5-shot) | 49.57 | |
| | | GSM8K (5-shot) | 0.0 | |
| | | DROP (3-shot) | 0.0 | |
| |
|
