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