Model Intelligence Sheet
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
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Likes
1
Pipeline
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Library
transformers
Visibility
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Repository Files & Downloads
24 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| 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
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\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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