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license: other |
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datasets: |
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- euclaise/MiniCoT |
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- euclaise/SciCoT |
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- euclaise/symtune_mini |
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- euclaise/gsm8k_self_correct |
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- euclaise/mathoverflow-accepted |
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- euirim/goodwiki |
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A pre-finetuning finetuned version of Mistral 7B 0.1, focused on CoT reasoning tasks. |
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Probably decent at reasoning, but also probably not great as a chat assistant- it's designed to be finetuned further to give it a friendlier style. As such, it is intentionally somewhat undertrained. |
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Current benchmarks aren't great for instruct models, so I've temporarily omitted them. I'm working on a benchmark suite for instruct models though, and will update this with scores when that is released. |
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Uses ChatML prompt formatting. |
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I reserve no rights to the model. To the extent possible under law, I release it as public domain. However, the datasets used have various licenses that may impact how the model may be used in your jurisdiction. |
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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_euclaise__Ferret-7B) |
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| Metric | Value | |
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| Avg. | 47.81 | |
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| ARC (25-shot) | 62.2 | |
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| HellaSwag (10-shot) | 81.75 | |
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| MMLU (5-shot) | 60.82 | |
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| TruthfulQA (0-shot) | 40.94 | |
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| Winogrande (5-shot) | 77.35 | |
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| GSM8K (5-shot) | 5.76 | |
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| DROP (3-shot) | 5.87 | |
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I'm not sure what's going on with GSM8K. Since GSK8K (train split) data was included in the Ferret dataset, I suspect that either it is over-correcting itself or the eval is broken. |
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