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