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mradermacher/miniclaus-qw1.5b-unamgs-i1-gguf overview

About weighted/imatrix quants of https://huggingface.co/fblgit/miniclaus-qw1.5B-UNAMGS static quants are available at https://huggingface.co/mradermacher/miniclaus-qw1.5B-UNAMGS-GGUF

transformersggufgenerated_from_trainerzhoengfraspapordeuitarusjpnkorviethaaradataset:Magpie-Align/Magpie-Pro-MT-300K-v0.1base_model:fblgit/miniclaus-qw1.5B-UNAMGSbase_model:quantized:fblgit/miniclaus-qw1.5B-UNAMGSlicense:otherendpoints_compatibleregion:usimatrixconversational
mradermacher/miniclaus-qw1.5b-unamgs-i1-gguf visual
Downloads
252
Likes
1
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

24 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
miniclaus-qw1.5B-UNAMGS.i1-IQ1_M.gguf GGUF IQ1_M 515.97 MB Download
miniclaus-qw1.5B-UNAMGS.i1-IQ1_S.gguf GGUF IQ1_S 489.33 MB Download
miniclaus-qw1.5B-UNAMGS.i1-IQ2_M.gguf GGUF IQ2_M 668.84 MB Download
miniclaus-qw1.5B-UNAMGS.i1-IQ2_S.gguf GGUF IQ2_S 633.32 MB Download
miniclaus-qw1.5B-UNAMGS.i1-IQ2_XS.gguf GGUF IQ2_XS 597.86 MB Download
miniclaus-qw1.5B-UNAMGS.i1-IQ2_XXS.gguf GGUF IQ2_XXS 560.37 MB Download
miniclaus-qw1.5B-UNAMGS.i1-IQ3_M.gguf GGUF IQ3_M 836.32 MB Download
miniclaus-qw1.5B-UNAMGS.i1-IQ3_S.gguf GGUF IQ3_S 822.72 MB Download
miniclaus-qw1.5B-UNAMGS.i1-IQ3_XS.gguf GGUF IQ3_XS 793.44 MB Download
miniclaus-qw1.5B-UNAMGS.i1-IQ3_XXS.gguf GGUF IQ3_XXS 733.44 MB Download
miniclaus-qw1.5B-UNAMGS.i1-IQ4_NL.gguf GGUF IQ4_NL 1018.15 MB Download
miniclaus-qw1.5B-UNAMGS.i1-IQ4_XS.gguf GGUF IQ4_XS 972.47 MB Download
miniclaus-qw1.5B-UNAMGS.i1-Q2_K.gguf GGUF Q2_K 718.00 MB Download
miniclaus-qw1.5B-UNAMGS.i1-Q2_K_S.gguf GGUF Q2_K_S 683.51 MB Download
miniclaus-qw1.5B-UNAMGS.i1-Q3_K_L.gguf GGUF Q3_K_L 935.02 MB Download
miniclaus-qw1.5B-UNAMGS.i1-Q3_K_M.gguf GGUF Q3_K_M 881.63 MB Download
miniclaus-qw1.5B-UNAMGS.i1-Q3_K_S.gguf GGUF Q3_K_S 821.33 MB Download
miniclaus-qw1.5B-UNAMGS.i1-Q4_0.gguf GGUF 1019.30 MB Download
miniclaus-qw1.5B-UNAMGS.i1-Q4_1.gguf GGUF 1.08 GB Download
miniclaus-qw1.5B-UNAMGS.i1-Q4_K_M.gguf GGUF Q4_K_M 1.04 GB Download
miniclaus-qw1.5B-UNAMGS.i1-Q4_K_S.gguf GGUF Q4_K_S 1021.94 MB Download
miniclaus-qw1.5B-UNAMGS.i1-Q5_K_M.gguf GGUF Q5_K_M 1.20 GB Download
miniclaus-qw1.5B-UNAMGS.i1-Q5_K_S.gguf GGUF Q5_K_S 1.17 GB Download
miniclaus-qw1.5B-UNAMGS.i1-Q6_K.gguf GGUF Q6_K 1.36 GB Download

Model Details Live

Model Slug
mradermacher/miniclaus-qw1.5b-unamgs-i1-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2025-01-13
Last Modified
2025-05-20
Gated
No
Private
No
HF SHA
4a0214d188e60b120705e58f4be46478463b2347
License
other
Language
zho, eng, fra, spa, por, deu, ita, rus, jpn, kor, vie, tha, ara
Base Model
fblgit/miniclaus-qw1.5B-UNAMGS

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "fblgit/miniclaus-qw1.5B-UNAMGS",
    "datasets": [
      "Magpie-Align/Magpie-Pro-MT-300K-v0.1"
    ],
    "language": [
      "zho",
      "eng",
      "fra",
      "spa",
      "por",
      "deu",
      "ita",
      "rus",
      "jpn",
      "kor",
      "vie",
      "tha",
      "ara"
    ],
    "library_name": "transformers",
    "license": "other",
    "license_link": "https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE",
    "license_name": "qwen",
    "quantized_by": "mradermacher",
    "tags": [
      "generated_from_trainer"
    ],
    "frontmatter": {
      "base_model": "fblgit/miniclaus-qw1.5B-UNAMGS",
      "datasets": [
        "Magpie-Align/Magpie-Pro-MT-300K-v0.1"
      ],
      "language": [
        "zho",
        "eng",
        "fra",
        "spa",
        "por",
        "deu",
        "ita",
        "rus",
        "jpn",
        "kor",
        "vie",
        "tha",
        "ara"
      ],
      "library_name": "transformers",
      "license": "other",
      "license_link": "https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE",
      "license_name": "qwen",
      "quantized_by": "mradermacher",
      "tags": [
        "generated_from_trainer"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      weighted/imatrix quants of https://huggingface.co/fblgit/miniclaus-qw1.5B-UNAMGS  static quants are available at https://huggingface.co/mradermacher/miniclaus-qw1.5B-UNAMGS-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: fblgit/miniclaus-qw1.5B-UNAMGS\ndatasets:\n- Magpie-Align/Magpie-Pro-MT-300K-v0.1\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\nlicense: other\nlicense_link: https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE\nlicense_name: qwen\nquantized_by: mradermacher\ntags:\n- generated_from_trainer\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/fblgit/miniclaus-qw1.5B-UNAMGS\n\n<!-- provided-files -->\nstatic quants are available at https://huggingface.co/mradermacher/miniclaus-qw1.5B-UNAMGS-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/miniclaus-qw1.5B-UNAMGS-i1-GGUF/resolve/main/miniclaus-qw1.5B-UNAMGS.i1-IQ1_S.gguf) | i1-IQ1_S | 0.6 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/miniclaus-qw1.5B-UNAMGS-i1-GGUF/resolve/main/miniclaus-qw1.5B-UNAMGS.i1-IQ1_M.gguf) | i1-IQ1_M | 0.6 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/miniclaus-qw1.5B-UNAMGS-i1-GGUF/resolve/main/miniclaus-qw1.5B-UNAMGS.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 0.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/miniclaus-qw1.5B-UNAMGS-i1-GGUF/resolve/main/miniclaus-qw1.5B-UNAMGS.i1-IQ2_XS.gguf) | i1-IQ2_XS | 0.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/miniclaus-qw1.5B-UNAMGS-i1-GGUF/resolve/main/miniclaus-qw1.5B-UNAMGS.i1-IQ2_S.gguf) | i1-IQ2_S | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/miniclaus-qw1.5B-UNAMGS-i1-GGUF/resolve/main/miniclaus-qw1.5B-UNAMGS.i1-IQ2_M.gguf) | i1-IQ2_M | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/miniclaus-qw1.5B-UNAMGS-i1-GGUF/resolve/main/miniclaus-qw1.5B-UNAMGS.i1-Q2_K_S.gguf) | i1-Q2_K_S | 0.8 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/miniclaus-qw1.5B-UNAMGS-i1-GGUF/resolve/main/miniclaus-qw1.5B-UNAMGS.i1-Q2_K.gguf) | i1-Q2_K | 0.9 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/miniclaus-qw1.5B-UNAMGS-i1-GGUF/resolve/main/miniclaus-qw1.5B-UNAMGS.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 0.9 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/miniclaus-qw1.5B-UNAMGS-i1-GGUF/resolve/main/miniclaus-qw1.5B-UNAMGS.i1-IQ3_XS.gguf) | i1-IQ3_XS | 0.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/miniclaus-qw1.5B-UNAMGS-i1-GGUF/resolve/main/miniclaus-qw1.5B-UNAMGS.i1-Q3_K_S.gguf) | i1-Q3_K_S | 1.0 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/miniclaus-qw1.5B-UNAMGS-i1-GGUF/resolve/main/miniclaus-qw1.5B-UNAMGS.i1-IQ3_S.gguf) | i1-IQ3_S | 1.0 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/miniclaus-qw1.5B-UNAMGS-i1-GGUF/resolve/main/miniclaus-qw1.5B-UNAMGS.i1-IQ3_M.gguf) | i1-IQ3_M | 1.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/miniclaus-qw1.5B-UNAMGS-i1-GGUF/resolve/main/miniclaus-qw1.5B-UNAMGS.i1-Q3_K_M.gguf) | i1-Q3_K_M | 1.0 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/miniclaus-qw1.5B-UNAMGS-i1-GGUF/resolve/main/miniclaus-qw1.5B-UNAMGS.i1-Q3_K_L.gguf) | i1-Q3_K_L | 1.1 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/miniclaus-qw1.5B-UNAMGS-i1-GGUF/resolve/main/miniclaus-qw1.5B-UNAMGS.i1-IQ4_XS.gguf) | i1-IQ4_XS | 1.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/miniclaus-qw1.5B-UNAMGS-i1-GGUF/resolve/main/miniclaus-qw1.5B-UNAMGS.i1-IQ4_NL.gguf) | i1-IQ4_NL | 1.2 | prefer IQ4_XS |\n| [GGUF](https://huggingface.co/mradermacher/miniclaus-qw1.5B-UNAMGS-i1-GGUF/resolve/main/miniclaus-qw1.5B-UNAMGS.i1-Q4_0.gguf) | i1-Q4_0 | 1.2 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/miniclaus-qw1.5B-UNAMGS-i1-GGUF/resolve/main/miniclaus-qw1.5B-UNAMGS.i1-Q4_K_S.gguf) | i1-Q4_K_S | 1.2 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/miniclaus-qw1.5B-UNAMGS-i1-GGUF/resolve/main/miniclaus-qw1.5B-UNAMGS.i1-Q4_K_M.gguf) | i1-Q4_K_M | 1.2 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/miniclaus-qw1.5B-UNAMGS-i1-GGUF/resolve/main/miniclaus-qw1.5B-UNAMGS.i1-Q4_1.gguf) | i1-Q4_1 | 1.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/miniclaus-qw1.5B-UNAMGS-i1-GGUF/resolve/main/miniclaus-qw1.5B-UNAMGS.i1-Q5_K_S.gguf) | i1-Q5_K_S | 1.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/miniclaus-qw1.5B-UNAMGS-i1-GGUF/resolve/main/miniclaus-qw1.5B-UNAMGS.i1-Q5_K_M.gguf) | i1-Q5_K_M | 1.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/miniclaus-qw1.5B-UNAMGS-i1-GGUF/resolve/main/miniclaus-qw1.5B-UNAMGS.i1-Q6_K.gguf) | i1-Q6_K | 1.6 | 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",
    "generated_from_trainer",
    "zho",
    "eng",
    "fra",
    "spa",
    "por",
    "deu",
    "ita",
    "rus",
    "jpn",
    "kor",
    "vie",
    "tha",
    "ara",
    "dataset:Magpie-Align/Magpie-Pro-MT-300K-v0.1",
    "base_model:fblgit/miniclaus-qw1.5B-UNAMGS",
    "base_model:quantized:fblgit/miniclaus-qw1.5B-UNAMGS",
    "license:other",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ],
  "likes": 1,
  "downloads": 252,
  "gated": false,
  "private": false,
  "last_modified": "2025-05-20T11:22:06.000Z",
  "created_at": "2025-01-13T02:00:06.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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  "createdAt": "2025-01-13T02:00:06.000Z",
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