koesn/mistral-catmacaroni-slerp-uncensored-7b-gguf overview

{
  "metadata": {},
  "card_data": {
    "license": "apache-2.0",
    "tags": [
      "uncensored"
    ],
    "frontmatter": {
      "license": "apache-2.0",
      "tags": [
        "uncensored"
      ]
    },
    "hero_image_url": "https://i.ibb.co/HCnCgFp/Best-Uncensored-LLMs.png",
    "summary": "This is an experimental model. Finetuned on dataset toxic-dpo-v0.1-NoWarning-alpaca using model 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 |",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nlicense: apache-2.0\ntags:\n- uncensored\n---\n# Mistral-CatMacaroni-slerp-uncensored-7B\n\n## Description\nThis repo contains GGUF format model files for Mistral-CatMacaroni-slerp-uncensored-7B.\n\n## Files Provided\n|                          Name                        |  Quant  | Bits | File Size |               Remark             |\n| ---------------------------------------------------- | ------- | ---- | --------- | -------------------------------- |\n| mistral-catmacaroni-slerp-uncensored-7b.IQ3_XXS.gguf | IQ3_XXS |  3   |  3.02 GB  | 3.06 bpw quantization            |\n| mistral-catmacaroni-slerp-uncensored-7b.IQ3_S.gguf   | IQ3_S   |  3   |  3.18 GB  | 3.44 bpw quantization            |\n| mistral-catmacaroni-slerp-uncensored-7b.IQ3_M.gguf   | IQ3_M   |  3   |  3.28 GB  | 3.66 bpw quantization mix        |\n| mistral-catmacaroni-slerp-uncensored-7b.Q4_0.gguf    | Q4_0    |  4   |  4.11 GB  | 3.56G, +0.2166 ppl               |\n| mistral-catmacaroni-slerp-uncensored-7b.IQ4_NL.gguf  | IQ4_NL  |  4   |  4.16 GB  | 4.25 bpw non-linear quantization |\n| mistral-catmacaroni-slerp-uncensored-7b.Q4_K_M.gguf  | Q4_K_M  |  4   |  4.37 GB  | 3.80G, +0.0532 ppl               |\n| mistral-catmacaroni-slerp-uncensored-7b.Q5_K_M.gguf  | Q5_K_M  |  5   |  5.13 GB  | 4.45G, +0.0122 ppl               |\n| mistral-catmacaroni-slerp-uncensored-7b.Q6_K.gguf    | Q6_K    |  6   |  5.94 GB  | 5.15G, +0.0008 ppl               |\n| mistral-catmacaroni-slerp-uncensored-7b.Q8_0.gguf    | Q8_0    |  8   |  7.70 GB  | 6.70G, +0.0004 ppl               |\n\n## Parameters\n| path                                                 | type    | architecture       | rope_theta | sliding_win | max_pos_embed |\n| ---------------------------------------------------- | ------- | ------------------ | ---------- | ----------- | ------------- |\n| diffnamehard/Mistral-CatMacaroni-slerp-uncensored-7B | mistral | MistralForCausalLM | 1000000.0  | null        | 32768         |\n\n## Benchmarks\n![](https://i.ibb.co/HCnCgFp/Best-Uncensored-LLMs.png)\n\n# Original Model Card\n\nThis is an experimental model. \n\nFinetuned 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)\n\n| Metric | Value |\n| --- | --- |\n| Avg. | 67.28 |\n| ARC (25-shot) | 64.25 |\n| HellaSwag (10-shot) | 84.09 |\n| MMLU (5-shot) | 62.66 |\n| TruthfulQA (0-shot) | 56.87 |\n| Winogrande (5-shot) | 79.72 |\n| GSM8K (5-shot) | 56.1 |\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "uncensored",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 7,
  "downloads": 187,
  "gated": false,
  "private": false,
  "last_modified": "2024-03-10T16:40:17.000Z",
  "created_at": "2024-03-02T06:00:20.000Z",
  "pipeline_tag": "",
  "library_name": ""
}

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  "id": "koesn/Mistral-CatMacaroni-slerp-uncensored-7B-GGUF",
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  "createdAt": "2024-03-02T06:00:20.000Z",
  "lastModified": "2024-03-10T16:40:17.000Z",
  "author": "koesn",
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