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mradermacher/qwq-32b-mlem-i1-gguf overview

About weighted/imatrix quants of https://huggingface.co/Yobenboben/QwQ-32B-Mlem For a convenient overview and download list, visit our model page for this model. static quants are available at https://huggingface.co/mradermacher/QwQ-32B-Mlem-GGUF

transformersggufmergekitmergezhoengfraspapordeuitarusjpnkorviethaarabase_model:Yobenboben/QwQ-32B-Mlembase_model:quantized:Yobenboben/QwQ-32B-Mlemendpoints_compatibleregion:usimatrixconversational
mradermacher/qwq-32b-mlem-i1-gguf visual
Downloads
91
Likes
0
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

23 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
QwQ-32B-Mlem.i1-IQ1_M.gguf GGUF IQ1_M 7.39 GB Download
QwQ-32B-Mlem.i1-IQ1_S.gguf GGUF IQ1_S 6.77 GB Download
QwQ-32B-Mlem.i1-IQ2_M.gguf GGUF IQ2_M 10.49 GB Download
QwQ-32B-Mlem.i1-IQ2_S.gguf GGUF IQ2_S 9.67 GB Download
QwQ-32B-Mlem.i1-IQ2_XS.gguf GGUF IQ2_XS 9.27 GB Download
QwQ-32B-Mlem.i1-IQ2_XXS.gguf GGUF IQ2_XXS 8.41 GB Download
QwQ-32B-Mlem.i1-IQ3_M.gguf GGUF IQ3_M 13.79 GB Download
QwQ-32B-Mlem.i1-IQ3_S.gguf GGUF IQ3_S 13.44 GB Download
QwQ-32B-Mlem.i1-IQ3_XS.gguf GGUF IQ3_XS 12.76 GB Download
QwQ-32B-Mlem.i1-IQ3_XXS.gguf GGUF IQ3_XXS 11.96 GB Download
QwQ-32B-Mlem.i1-IQ4_XS.gguf GGUF IQ4_XS 16.48 GB Download
QwQ-32B-Mlem.i1-Q2_K.gguf GGUF Q2_K 11.47 GB Download
QwQ-32B-Mlem.i1-Q2_K_S.gguf GGUF Q2_K_S 10.70 GB Download
QwQ-32B-Mlem.i1-Q3_K_L.gguf GGUF Q3_K_L 16.06 GB Download
QwQ-32B-Mlem.i1-Q3_K_M.gguf GGUF Q3_K_M 14.84 GB Download
QwQ-32B-Mlem.i1-Q3_K_S.gguf GGUF Q3_K_S 13.40 GB Download
QwQ-32B-Mlem.i1-Q4_0.gguf GGUF 17.42 GB Download
QwQ-32B-Mlem.i1-Q4_1.gguf GGUF 19.22 GB Download
QwQ-32B-Mlem.i1-Q4_K_M.gguf GGUF Q4_K_M 18.49 GB Download
QwQ-32B-Mlem.i1-Q4_K_S.gguf GGUF Q4_K_S 17.49 GB Download
QwQ-32B-Mlem.i1-Q5_K_M.gguf GGUF Q5_K_M 21.66 GB Download
QwQ-32B-Mlem.i1-Q5_K_S.gguf GGUF Q5_K_S 21.08 GB Download
QwQ-32B-Mlem.i1-Q6_K.gguf GGUF Q6_K 25.04 GB Download

Model Details Live

Model Slug
mradermacher/qwq-32b-mlem-i1-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2025-04-27
Last Modified
2025-07-11
Gated
No
Private
No
HF SHA
02851d92432e32d803a32f01e519ae83a306f5c6
License
Unknown
Language
zho, eng, fra, spa, por, deu, ita, rus, jpn, kor, vie, tha, ara
Base Model
Yobenboben/QwQ-32B-Mlem

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "Yobenboben/QwQ-32B-Mlem",
    "language": [
      "zho",
      "eng",
      "fra",
      "spa",
      "por",
      "deu",
      "ita",
      "rus",
      "jpn",
      "kor",
      "vie",
      "tha",
      "ara"
    ],
    "library_name": "transformers",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "mergekit",
      "merge"
    ],
    "frontmatter": {
      "base_model": "Yobenboben/QwQ-32B-Mlem",
      "language": [
        "zho",
        "eng",
        "fra",
        "spa",
        "por",
        "deu",
        "ita",
        "rus",
        "jpn",
        "kor",
        "vie",
        "tha",
        "ara"
      ],
      "library_name": "transformers",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "mergekit",
        "merge"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      weighted/imatrix quants of https://huggingface.co/Yobenboben/QwQ-32B-Mlem  ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/QwQ-32B-Mlem-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: Yobenboben/QwQ-32B-Mlem\nlanguage:\n- zho\n- eng\n- fra\n- spa\n- por\n- deu\n- ita\n- rus\n- jpn\n- kor\n- vie\n- tha\n- ara\nlibrary_name: transformers\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- mergekit\n- merge\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags: nicoboss -->\nweighted/imatrix quants of https://huggingface.co/Yobenboben/QwQ-32B-Mlem\n\n<!-- provided-files -->\n\n***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#QwQ-32B-Mlem-i1-GGUF).***\n\nstatic quants are available at https://huggingface.co/mradermacher/QwQ-32B-Mlem-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-Mlem-i1-GGUF/resolve/main/QwQ-32B-Mlem.i1-IQ1_S.gguf) | i1-IQ1_S | 7.4 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/QwQ-32B-Mlem-i1-GGUF/resolve/main/QwQ-32B-Mlem.i1-IQ1_M.gguf) | i1-IQ1_M | 8.0 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/QwQ-32B-Mlem-i1-GGUF/resolve/main/QwQ-32B-Mlem.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 9.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/QwQ-32B-Mlem-i1-GGUF/resolve/main/QwQ-32B-Mlem.i1-IQ2_XS.gguf) | i1-IQ2_XS | 10.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/QwQ-32B-Mlem-i1-GGUF/resolve/main/QwQ-32B-Mlem.i1-IQ2_S.gguf) | i1-IQ2_S | 10.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/QwQ-32B-Mlem-i1-GGUF/resolve/main/QwQ-32B-Mlem.i1-IQ2_M.gguf) | i1-IQ2_M | 11.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/QwQ-32B-Mlem-i1-GGUF/resolve/main/QwQ-32B-Mlem.i1-Q2_K_S.gguf) | i1-Q2_K_S | 11.6 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/QwQ-32B-Mlem-i1-GGUF/resolve/main/QwQ-32B-Mlem.i1-Q2_K.gguf) | i1-Q2_K | 12.4 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/QwQ-32B-Mlem-i1-GGUF/resolve/main/QwQ-32B-Mlem.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 12.9 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/QwQ-32B-Mlem-i1-GGUF/resolve/main/QwQ-32B-Mlem.i1-IQ3_XS.gguf) | i1-IQ3_XS | 13.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/QwQ-32B-Mlem-i1-GGUF/resolve/main/QwQ-32B-Mlem.i1-Q3_K_S.gguf) | i1-Q3_K_S | 14.5 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/QwQ-32B-Mlem-i1-GGUF/resolve/main/QwQ-32B-Mlem.i1-IQ3_S.gguf) | i1-IQ3_S | 14.5 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/QwQ-32B-Mlem-i1-GGUF/resolve/main/QwQ-32B-Mlem.i1-IQ3_M.gguf) | i1-IQ3_M | 14.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/QwQ-32B-Mlem-i1-GGUF/resolve/main/QwQ-32B-Mlem.i1-Q3_K_M.gguf) | i1-Q3_K_M | 16.0 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/QwQ-32B-Mlem-i1-GGUF/resolve/main/QwQ-32B-Mlem.i1-Q3_K_L.gguf) | i1-Q3_K_L | 17.3 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/QwQ-32B-Mlem-i1-GGUF/resolve/main/QwQ-32B-Mlem.i1-IQ4_XS.gguf) | i1-IQ4_XS | 17.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/QwQ-32B-Mlem-i1-GGUF/resolve/main/QwQ-32B-Mlem.i1-Q4_0.gguf) | i1-Q4_0 | 18.8 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/QwQ-32B-Mlem-i1-GGUF/resolve/main/QwQ-32B-Mlem.i1-Q4_K_S.gguf) | i1-Q4_K_S | 18.9 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/QwQ-32B-Mlem-i1-GGUF/resolve/main/QwQ-32B-Mlem.i1-Q4_K_M.gguf) | i1-Q4_K_M | 19.9 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/QwQ-32B-Mlem-i1-GGUF/resolve/main/QwQ-32B-Mlem.i1-Q4_1.gguf) | i1-Q4_1 | 20.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/QwQ-32B-Mlem-i1-GGUF/resolve/main/QwQ-32B-Mlem.i1-Q5_K_S.gguf) | i1-Q5_K_S | 22.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/QwQ-32B-Mlem-i1-GGUF/resolve/main/QwQ-32B-Mlem.i1-Q5_K_M.gguf) | i1-Q5_K_M | 23.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/QwQ-32B-Mlem-i1-GGUF/resolve/main/QwQ-32B-Mlem.i1-Q6_K.gguf) | i1-Q6_K | 27.0 | practically like static Q6_K |\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",
    "mergekit",
    "merge",
    "zho",
    "eng",
    "fra",
    "spa",
    "por",
    "deu",
    "ita",
    "rus",
    "jpn",
    "kor",
    "vie",
    "tha",
    "ara",
    "base_model:Yobenboben/QwQ-32B-Mlem",
    "base_model:quantized:Yobenboben/QwQ-32B-Mlem",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ],
  "likes": 0,
  "downloads": 91,
  "gated": false,
  "private": false,
  "last_modified": "2025-07-11T04:19:59.000Z",
  "created_at": "2025-04-27T00:53:47.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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