mradermacher/liberated-miqu-70b-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "abideen/Liberated-Miqu-70B",
    "datasets": [
      "abacusai/SystemChat"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "quantized_by": "mradermacher",
    "tags": [
      "Miqu",
      "Liberated",
      "Uncensored",
      "70B"
    ],
    "frontmatter": {
      "base_model": "abideen/Liberated-Miqu-70B",
      "datasets": [
        "abacusai/SystemChat"
      ],
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "quantized_by": "mradermacher",
      "tags": [
        "Miqu",
        "Liberated",
        "Uncensored",
        "70B"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About static quants of https://huggingface.co/abideen/Liberated-Miqu-70B  weighted/imatrix quants are available at https://huggingface.co/mradermacher/Liberated-Miqu-70B-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: abideen/Liberated-Miqu-70B\ndatasets:\n- abacusai/SystemChat\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nquantized_by: mradermacher\ntags:\n- Miqu\n- Liberated\n- Uncensored\n- 70B\n---\n## About\n\nstatic quants of https://huggingface.co/abideen/Liberated-Miqu-70B\n\n<!-- provided-files -->\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Liberated-Miqu-70B-i1-GGUF\n## Usage\n\nIf you are unsure how to use GGUF files, refer to one of [TheBloke's\nREADMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for\nmore details, including on how to concatenate multi-part files.\n\n## Provided Quants\n\n(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)\n\n| Link | Type | Size/GB | Notes |\n|:-----|:-----|--------:|:------|\n| [GGUF](https://huggingface.co/mradermacher/Liberated-Miqu-70B-GGUF/resolve/main/Liberated-Miqu-70B.Q2_K.gguf) | Q2_K | 25.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Liberated-Miqu-70B-GGUF/resolve/main/Liberated-Miqu-70B.IQ3_XS.gguf) | IQ3_XS | 28.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Liberated-Miqu-70B-GGUF/resolve/main/Liberated-Miqu-70B.IQ3_S.gguf) | IQ3_S | 30.3 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Liberated-Miqu-70B-GGUF/resolve/main/Liberated-Miqu-70B.Q3_K_S.gguf) | Q3_K_S | 30.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Liberated-Miqu-70B-GGUF/resolve/main/Liberated-Miqu-70B.IQ3_M.gguf) | IQ3_M | 31.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Liberated-Miqu-70B-GGUF/resolve/main/Liberated-Miqu-70B.Q3_K_M.gguf) | Q3_K_M | 33.7 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Liberated-Miqu-70B-GGUF/resolve/main/Liberated-Miqu-70B.Q3_K_L.gguf) | Q3_K_L | 36.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Liberated-Miqu-70B-GGUF/resolve/main/Liberated-Miqu-70B.IQ4_XS.gguf) | IQ4_XS | 37.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Liberated-Miqu-70B-GGUF/resolve/main/Liberated-Miqu-70B.Q4_0.gguf) | Q4_0 | 39.3 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Liberated-Miqu-70B-GGUF/resolve/main/Liberated-Miqu-70B.IQ4_NL.gguf) | IQ4_NL | 39.7 | prefer IQ4_XS |\n| [GGUF](https://huggingface.co/mradermacher/Liberated-Miqu-70B-GGUF/resolve/main/Liberated-Miqu-70B.Q4_K_S.gguf) | Q4_K_S | 39.7 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Liberated-Miqu-70B-GGUF/resolve/main/Liberated-Miqu-70B.Q4_K_M.gguf) | Q4_K_M | 41.8 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Liberated-Miqu-70B-GGUF/resolve/main/Liberated-Miqu-70B.Q5_K_S.gguf) | Q5_K_S | 47.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Liberated-Miqu-70B-GGUF/resolve/main/Liberated-Miqu-70B.Q5_K_M.gguf) | Q5_K_M | 49.2 |  |\n| [PART 1](https://huggingface.co/mradermacher/Liberated-Miqu-70B-GGUF/resolve/main/Liberated-Miqu-70B.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Liberated-Miqu-70B-GGUF/resolve/main/Liberated-Miqu-70B.Q6_K.gguf.part2of2) | Q6_K | 57.0 | very good quality |\n| [PART 1](https://huggingface.co/mradermacher/Liberated-Miqu-70B-GGUF/resolve/main/Liberated-Miqu-70B.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Liberated-Miqu-70B-GGUF/resolve/main/Liberated-Miqu-70B.Q8_0.gguf.part2of2) | Q8_0 | 73.6 | fast, best quality |\n\nHere is a handy graph by ikawrakow comparing some lower-quality quant\ntypes (lower is better):\n\n![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)\n\nAnd here are Artefact2's thoughts on the matter:\nhttps://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9\n\n## FAQ / Model Request\n\nSee https://huggingface.co/mradermacher/model_requests for some answers to\nquestions you might have and/or if you want some other model quantized.\n\n## Thanks\n\nI thank my company, [nethype GmbH](https://www.nethype.de/), for letting\nme use its servers and providing upgrades to my workstation to enable\nthis work in my free time.\n\n<!-- end -->\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "Miqu",
    "Liberated",
    "Uncensored",
    "70B",
    "en",
    "dataset:abacusai/SystemChat",
    "base_model:abideen/Liberated-Miqu-70B",
    "base_model:quantized:abideen/Liberated-Miqu-70B",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 81,
  "gated": false,
  "private": false,
  "last_modified": "2025-03-29T21:24:38.000Z",
  "created_at": "2024-03-28T02:34:38.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

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  "id": "mradermacher/Liberated-Miqu-70B-GGUF",
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  "sha": "eba72593742b84be24299610f30b69c89f6858e9",
  "createdAt": "2024-03-28T02:34:38.000Z",
  "lastModified": "2025-03-29T21:24:38.000Z",
  "author": "mradermacher",
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