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mradermacher/qwq-32b-preview-abliterated-gguf overview

About static quants of https://huggingface.co/huihui-ai/QwQ-32B-Preview-abliterated weighted/imatrix quants are available at https://huggingface.co/mradermacher/QwQ-32B-Preview-abliterated-i1-GGUF

transformersggufchatabliterateduncensoredenbase_model:huihui-ai/QwQ-32B-Preview-abliteratedbase_model:quantized:huihui-ai/QwQ-32B-Preview-abliteratedlicense:apache-2.0endpoints_compatibleregion:usconversational
mradermacher/qwq-32b-preview-abliterated-gguf visual
Downloads
159
Likes
43
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

11 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
QwQ-32B-Preview-abliterated.IQ4_XS.gguf GGUF IQ4_XS 16.64 GB Download
QwQ-32B-Preview-abliterated.Q2_K.gguf GGUF Q2_K 11.47 GB Download
QwQ-32B-Preview-abliterated.Q3_K_L.gguf GGUF Q3_K_L 16.06 GB Download
QwQ-32B-Preview-abliterated.Q3_K_M.gguf GGUF Q3_K_M 14.84 GB Download
QwQ-32B-Preview-abliterated.Q3_K_S.gguf GGUF Q3_K_S 13.40 GB Download
QwQ-32B-Preview-abliterated.Q4_K_M.gguf GGUF Q4_K_M 18.49 GB Download
QwQ-32B-Preview-abliterated.Q4_K_S.gguf GGUF Q4_K_S 17.49 GB Download
QwQ-32B-Preview-abliterated.Q5_K_M.gguf GGUF Q5_K_M 21.66 GB Download
QwQ-32B-Preview-abliterated.Q5_K_S.gguf GGUF Q5_K_S 21.08 GB Download
QwQ-32B-Preview-abliterated.Q6_K.gguf GGUF Q6_K 25.04 GB Download
QwQ-32B-Preview-abliterated.Q8_0.gguf GGUF 32.43 GB Download

Model Details Live

Model Slug
mradermacher/qwq-32b-preview-abliterated-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2024-11-29
Last Modified
2024-11-30
Gated
No
Private
No
HF SHA
2beb35548766dc3c43a4e693866bd8072d6fc464
License
apache-2.0
Language
en
Base Model
huihui-ai/QwQ-32B-Preview-abliterated

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "huihui-ai/QwQ-32B-Preview-abliterated",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "license_link": "https://huggingface.co/huihui-ai/QwQ-32B-Preview-abliterated/blob/main/LICENSE",
    "quantized_by": "mradermacher",
    "tags": [
      "chat",
      "abliterated",
      "uncensored"
    ],
    "frontmatter": {
      "base_model": "huihui-ai/QwQ-32B-Preview-abliterated",
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "license_link": "https://huggingface.co/huihui-ai/QwQ-32B-Preview-abliterated/blob/main/LICENSE",
      "quantized_by": "mradermacher",
      "tags": [
        "chat",
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        "uncensored"
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    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      static quants of https://huggingface.co/huihui-ai/QwQ-32B-Preview-abliterated  weighted/imatrix quants are available at https://huggingface.co/mradermacher/QwQ-32B-Preview-abliterated-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: huihui-ai/QwQ-32B-Preview-abliterated\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nlicense_link: https://huggingface.co/huihui-ai/QwQ-32B-Preview-abliterated/blob/main/LICENSE\nquantized_by: mradermacher\ntags:\n- chat\n- abliterated\n- uncensored\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags: nicoboss -->\nstatic quants of https://huggingface.co/huihui-ai/QwQ-32B-Preview-abliterated\n\n<!-- provided-files -->\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/QwQ-32B-Preview-abliterated-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/QwQ-32B-Preview-abliterated-GGUF/resolve/main/QwQ-32B-Preview-abliterated.Q2_K.gguf) | Q2_K | 12.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/QwQ-32B-Preview-abliterated-GGUF/resolve/main/QwQ-32B-Preview-abliterated.Q3_K_S.gguf) | Q3_K_S | 14.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/QwQ-32B-Preview-abliterated-GGUF/resolve/main/QwQ-32B-Preview-abliterated.Q3_K_M.gguf) | Q3_K_M | 16.0 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/QwQ-32B-Preview-abliterated-GGUF/resolve/main/QwQ-32B-Preview-abliterated.Q3_K_L.gguf) | Q3_K_L | 17.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/QwQ-32B-Preview-abliterated-GGUF/resolve/main/QwQ-32B-Preview-abliterated.IQ4_XS.gguf) | IQ4_XS | 18.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/QwQ-32B-Preview-abliterated-GGUF/resolve/main/QwQ-32B-Preview-abliterated.Q4_K_S.gguf) | Q4_K_S | 18.9 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/QwQ-32B-Preview-abliterated-GGUF/resolve/main/QwQ-32B-Preview-abliterated.Q4_K_M.gguf) | Q4_K_M | 20.0 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/QwQ-32B-Preview-abliterated-GGUF/resolve/main/QwQ-32B-Preview-abliterated.Q5_K_S.gguf) | Q5_K_S | 22.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/QwQ-32B-Preview-abliterated-GGUF/resolve/main/QwQ-32B-Preview-abliterated.Q5_K_M.gguf) | Q5_K_M | 23.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/QwQ-32B-Preview-abliterated-GGUF/resolve/main/QwQ-32B-Preview-abliterated.Q6_K.gguf) | Q6_K | 27.0 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/QwQ-32B-Preview-abliterated-GGUF/resolve/main/QwQ-32B-Preview-abliterated.Q8_0.gguf) | Q8_0 | 34.9 | 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. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.\n\n<!-- end -->\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "chat",
    "abliterated",
    "uncensored",
    "en",
    "base_model:huihui-ai/QwQ-32B-Preview-abliterated",
    "base_model:quantized:huihui-ai/QwQ-32B-Preview-abliterated",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 43,
  "downloads": 159,
  "gated": false,
  "private": false,
  "last_modified": "2024-11-30T07:04:38.000Z",
  "created_at": "2024-11-29T11:32:01.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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