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  # Note: This abliterated model (no finetuning) scores higher on most benchmarks on the LLM Leaderboard by a substantial margin compared to the original model.
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  Check out the <a href="https://huggingface.co/byroneverson/Yi-1.5-9B-Chat-16K-abliterated/blob/main/abliterate-yi-1-5-9b-chat-16k.ipynb">jupyter notebook</a> for details of how this model was abliterated from Yi-1.5-9B-Chat-16K.
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  ![Logo](https://huggingface.co/byroneverson/Yi-1.5-9B-Chat-16K-abliterated/resolve/main/logo.png "Logo")
 
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  # Note: This abliterated model (no finetuning) scores higher on most benchmarks on the LLM Leaderboard by a substantial margin compared to the original model.
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+ | Model | Average ⬆️ | IFEval | BBH | MATH Lvl 5 | GPQA | MUSR | MMLU-PRO |
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+ |-----------------------------------------------|-----------|--------|-------|------------|------|-------|----------|
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+ | byroneverson/Yi-1.5-9B-Chat-16K-abliterated 📑 | 26.37 | 55.28 | 32.84 | 10.65 | 8.39 | 19.68 | 31.37 |
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+ | 01-ai/Yi-1.5-9B-Chat-16K 📑 | 22.9 | 42.14 | 31.5 | 12.61 | 7.83 | 10.04 | 33.26 |
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  Check out the <a href="https://huggingface.co/byroneverson/Yi-1.5-9B-Chat-16K-abliterated/blob/main/abliterate-yi-1-5-9b-chat-16k.ipynb">jupyter notebook</a> for details of how this model was abliterated from Yi-1.5-9B-Chat-16K.
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  ![Logo](https://huggingface.co/byroneverson/Yi-1.5-9B-Chat-16K-abliterated/resolve/main/logo.png "Logo")