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license: apache-2.0 |
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# Mistral-CatMacaroni-slerp-uncensored-7B |
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## Description |
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This repo contains GGUF format model files for Mistral-CatMacaroni-slerp-uncensored-7B. |
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## Files Provided |
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| Name | Quant | Bits | File Size | Remark | |
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| ---------------------------------------------------- | ------- | ---- | --------- | -------------------------------- | |
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| mistral-catmacaroni-slerp-uncensored-7b.IQ3_XXS.gguf | IQ3_XXS | 3 | 3.02 GB | 3.06 bpw quantization | |
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| mistral-catmacaroni-slerp-uncensored-7b.IQ3_S.gguf | IQ3_S | 3 | 3.18 GB | 3.44 bpw quantization | |
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| mistral-catmacaroni-slerp-uncensored-7b.IQ3_M.gguf | IQ3_M | 3 | 3.28 GB | 3.66 bpw quantization mix | |
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| mistral-catmacaroni-slerp-uncensored-7b.Q4_0.gguf | Q4_0 | 4 | 4.11 GB | 3.56G, +0.2166 ppl | |
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| mistral-catmacaroni-slerp-uncensored-7b.IQ4_NL.gguf | IQ4_NL | 4 | 4.16 GB | 4.25 bpw non-linear quantization | |
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| mistral-catmacaroni-slerp-uncensored-7b.Q4_K_M.gguf | Q4_K_M | 4 | 4.37 GB | 3.80G, +0.0532 ppl | |
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| mistral-catmacaroni-slerp-uncensored-7b.Q5_K_M.gguf | Q5_K_M | 5 | 5.13 GB | 4.45G, +0.0122 ppl | |
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| mistral-catmacaroni-slerp-uncensored-7b.Q6_K.gguf | Q6_K | 6 | 5.94 GB | 5.15G, +0.0008 ppl | |
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| mistral-catmacaroni-slerp-uncensored-7b.Q8_0.gguf | Q8_0 | 8 | 7.70 GB | 6.70G, +0.0004 ppl | |
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## Parameters |
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| path | type | architecture | rope_theta | sliding_win | max_pos_embed | |
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| ---------------------------------------------------- | ------- | ------------------ | ---------- | ----------- | ------------- | |
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| diffnamehard/Mistral-CatMacaroni-slerp-uncensored-7B | mistral | MistralForCausalLM | 1000000.0 | null | 32768 | |
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## Benchmarks |
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# Original Model Card |
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license: apache-2.0 |
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tags: |
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- uncensored |
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This is an experimental model. |
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Finetuned on dataset [toxic-dpo-v0.1-NoWarning-alpaca](https://huggingface.co/datasets/diffnamehard/toxic-dpo-v0.1-NoWarning-alpaca) using model [Mistral-CatMacaroni-slerp-7B](https://huggingface.co/diffnamehard/Mistral-CatMacaroni-slerp-7B) |
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| Metric | Value | |
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| --- | --- | |
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| Avg. | 67.28 | |
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| ARC (25-shot) | 64.25 | |
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| HellaSwag (10-shot) | 84.09 | |
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| MMLU (5-shot) | 62.66 | |
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| TruthfulQA (0-shot) | 56.87 | |
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| Winogrande (5-shot) | 79.72 | |
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| GSM8K (5-shot) | 56.1 | |
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