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---
license: other
datasets:
- euclaise/MiniCoT
- euclaise/SciCoT
- euclaise/symtune_mini
- euclaise/gsm8k_self_correct
- euclaise/mathoverflow-accepted
- euirim/goodwiki
---
A pre-finetuning finetuned version of Mistral 7B 0.1, focused on CoT reasoning tasks.
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.
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.
Uses ChatML prompt formatting.
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.
# [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_euclaise__Ferret-7B)
| Metric | Value |
|-----------------------|---------------------------|
| Avg. | 47.81 |
| ARC (25-shot) | 62.2 |
| HellaSwag (10-shot) | 81.75 |
| MMLU (5-shot) | 60.82 |
| TruthfulQA (0-shot) | 40.94 |
| Winogrande (5-shot) | 77.35 |
| GSM8K (5-shot) | 5.76 |
| DROP (3-shot) | 5.87 |
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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