mradermacher/fitcheck-qwen2.5-vl-stylist-gguf Q2_K GGUF - Free GGUF Download is indexed on GraySoft with repository links, GGUF quant files, and Hugging Face metadata. This page helps you pick a local model for guIDE or other runtimes. See related models in the same shard below.
Model Intelligence Sheet
mradermacher/fitcheck-qwen2.5-vl-stylist-gguf overview
About static quants of https://huggingface.co/barryallen16/FitCheck-Qwen3-VL-Stylist For a convenient overview and download list, visit our model page for this model. weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
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0
Pipeline
—
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
14 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| FitCheck-Qwen2.5-VL-Stylist.IQ4_XS.gguf | GGUF | IQ4_XS | 969.20 MB | Download |
| FitCheck-Qwen2.5-VL-Stylist.Q2_K.gguf | GGUF | Q2_K | 741.77 MB | Download |
| FitCheck-Qwen2.5-VL-Stylist.Q3_K_L.gguf | GGUF | Q3_K_L | 957.02 MB | Download |
| FitCheck-Qwen2.5-VL-Stylist.Q3_K_M.gguf | GGUF | Q3_K_M | 896.02 MB | Download |
| FitCheck-Qwen2.5-VL-Stylist.Q3_K_S.gguf | GGUF | Q3_K_S | 827.08 MB | Download |
| FitCheck-Qwen2.5-VL-Stylist.Q4_K_M.gguf | GGUF | Q4_K_M | 1.03 GB | Download |
| FitCheck-Qwen2.5-VL-Stylist.Q4_K_S.gguf | GGUF | Q4_K_S | 1011.08 MB | Download |
| FitCheck-Qwen2.5-VL-Stylist.Q5_K_M.gguf | GGUF | Q5_K_M | 1.17 GB | Download |
| FitCheck-Qwen2.5-VL-Stylist.Q5_K_S.gguf | GGUF | Q5_K_S | 1.15 GB | Download |
| FitCheck-Qwen2.5-VL-Stylist.Q6_K.gguf | GGUF | Q6_K | 1.32 GB | Download |
| FitCheck-Qwen2.5-VL-Stylist.Q8_0.gguf | GGUF | — | 1.71 GB | Download |
| FitCheck-Qwen2.5-VL-Stylist.f16.gguf | GGUF | F16 | 3.21 GB | Download |
| FitCheck-Qwen2.5-VL-Stylist.mmproj-Q8_0.gguf | GGUF | — | 424.44 MB | Download |
| FitCheck-Qwen2.5-VL-Stylist.mmproj-f16.gguf | GGUF | F16 | 781.44 MB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "barryallen16/FitCheck-Qwen3-VL-Stylist",
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"mradermacher": {
"readme_rev": 1
},
"quantized_by": "mradermacher",
"tags": [
"text-generation-inference",
"transformers",
"unsloth",
"qwen3_vl"
],
"frontmatter": {
"base_model": "barryallen16/FitCheck-Qwen3-VL-Stylist",
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"mradermacher": [],
"quantized_by": "mradermacher",
"tags": [
"text-generation-inference",
"transformers",
"unsloth",
"qwen3_vl"
]
},
"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About static quants of https://huggingface.co/barryallen16/FitCheck-Qwen3-VL-Stylist ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: barryallen16/FitCheck-Qwen3-VL-Stylist\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n readme_rev: 1\nquantized_by: mradermacher\ntags:\n- text-generation-inference\n- transformers\n- unsloth\n- qwen3_vl\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type: -->\n<!-- ### tags: -->\n<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->\n<!-- ### quants_skip: -->\n<!-- ### skip_mmproj: -->\nstatic quants of https://huggingface.co/barryallen16/FitCheck-Qwen3-VL-Stylist\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#FitCheck-Qwen2.5-VL-Stylist-GGUF).***\n\nweighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.\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/FitCheck-Qwen2.5-VL-Stylist-GGUF/resolve/main/FitCheck-Qwen2.5-VL-Stylist.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.5 | multi-modal supplement |\n| [GGUF](https://huggingface.co/mradermacher/FitCheck-Qwen2.5-VL-Stylist-GGUF/resolve/main/FitCheck-Qwen2.5-VL-Stylist.Q2_K.gguf) | Q2_K | 0.9 | |\n| [GGUF](https://huggingface.co/mradermacher/FitCheck-Qwen2.5-VL-Stylist-GGUF/resolve/main/FitCheck-Qwen2.5-VL-Stylist.mmproj-f16.gguf) | mmproj-f16 | 0.9 | multi-modal supplement |\n| [GGUF](https://huggingface.co/mradermacher/FitCheck-Qwen2.5-VL-Stylist-GGUF/resolve/main/FitCheck-Qwen2.5-VL-Stylist.Q3_K_S.gguf) | Q3_K_S | 1.0 | |\n| [GGUF](https://huggingface.co/mradermacher/FitCheck-Qwen2.5-VL-Stylist-GGUF/resolve/main/FitCheck-Qwen2.5-VL-Stylist.Q3_K_M.gguf) | Q3_K_M | 1.0 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/FitCheck-Qwen2.5-VL-Stylist-GGUF/resolve/main/FitCheck-Qwen2.5-VL-Stylist.Q3_K_L.gguf) | Q3_K_L | 1.1 | |\n| [GGUF](https://huggingface.co/mradermacher/FitCheck-Qwen2.5-VL-Stylist-GGUF/resolve/main/FitCheck-Qwen2.5-VL-Stylist.IQ4_XS.gguf) | IQ4_XS | 1.1 | |\n| [GGUF](https://huggingface.co/mradermacher/FitCheck-Qwen2.5-VL-Stylist-GGUF/resolve/main/FitCheck-Qwen2.5-VL-Stylist.Q4_K_S.gguf) | Q4_K_S | 1.2 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/FitCheck-Qwen2.5-VL-Stylist-GGUF/resolve/main/FitCheck-Qwen2.5-VL-Stylist.Q4_K_M.gguf) | Q4_K_M | 1.2 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/FitCheck-Qwen2.5-VL-Stylist-GGUF/resolve/main/FitCheck-Qwen2.5-VL-Stylist.Q5_K_S.gguf) | Q5_K_S | 1.3 | |\n| [GGUF](https://huggingface.co/mradermacher/FitCheck-Qwen2.5-VL-Stylist-GGUF/resolve/main/FitCheck-Qwen2.5-VL-Stylist.Q5_K_M.gguf) | Q5_K_M | 1.4 | |\n| [GGUF](https://huggingface.co/mradermacher/FitCheck-Qwen2.5-VL-Stylist-GGUF/resolve/main/FitCheck-Qwen2.5-VL-Stylist.Q6_K.gguf) | Q6_K | 1.5 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/FitCheck-Qwen2.5-VL-Stylist-GGUF/resolve/main/FitCheck-Qwen2.5-VL-Stylist.Q8_0.gguf) | Q8_0 | 1.9 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/FitCheck-Qwen2.5-VL-Stylist-GGUF/resolve/main/FitCheck-Qwen2.5-VL-Stylist.f16.gguf) | f16 | 3.5 | 16 bpw, overkill |\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.\n\n<!-- end -->\n",
"related_quantizations": []
},
"tags": [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen3_vl",
"en",
"base_model:barryallen16/FitCheck-Qwen3-VL-Stylist",
"base_model:quantized:barryallen16/FitCheck-Qwen3-VL-Stylist",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 0,
"downloads": 298,
"gated": false,
"private": false,
"last_modified": "2026-03-26T14:12:04.000Z",
"created_at": "2026-03-11T09:50:53.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
"_id": "69b13afdc06491b1f995bcea",
"id": "mradermacher/FitCheck-Qwen2.5-VL-Stylist-GGUF",
"modelId": "mradermacher/FitCheck-Qwen2.5-VL-Stylist-GGUF",
"sha": "0823737068ced726e215aaff07d97c42478c8e93",
"createdAt": "2026-03-11T09:50:53.000Z",
"lastModified": "2026-03-26T14:12:04.000Z",
"author": "mradermacher",
"downloads": 298,
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"gated": false,
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"pipeline_tag": "",
"library_name": "transformers",
"siblings_count": 16
}