mradermacher/gui-owl-1.5-32b-instruct-i1-gguf IQ2_S 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/gui-owl-1.5-32b-instruct-i1-gguf overview
About weighted/imatrix quants of https://huggingface.co/mPLUG/GUI-Owl-1.5-32B-Instruct For a convenient overview and download list, visit our model page for this model. static quants are available at https://huggingface.co/mradermacher/GUI-Owl-1.5-32B-Instruct-GGUF This is a vision model - mmproj files (if any) will be in the static repository.
Downloads
142
Likes
3
Pipeline
—
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
24 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| GUI-Owl-1.5-32B-Instruct.i1-IQ1_M.gguf | GGUF | IQ1_M | 7.41 GB | Download |
| GUI-Owl-1.5-32B-Instruct.i1-IQ1_S.gguf | GGUF | IQ1_S | 6.82 GB | Download |
| GUI-Owl-1.5-32B-Instruct.i1-IQ2_M.gguf | GGUF | IQ2_M | 10.58 GB | Download |
| GUI-Owl-1.5-32B-Instruct.i1-IQ2_S.gguf | GGUF | IQ2_S | 9.79 GB | Download |
| GUI-Owl-1.5-32B-Instruct.i1-IQ2_XS.gguf | GGUF | IQ2_XS | 9.27 GB | Download |
| GUI-Owl-1.5-32B-Instruct.i1-IQ2_XXS.gguf | GGUF | IQ2_XXS | 8.40 GB | Download |
| GUI-Owl-1.5-32B-Instruct.i1-IQ3_M.gguf | GGUF | IQ3_M | 13.90 GB | Download |
| GUI-Owl-1.5-32B-Instruct.i1-IQ3_S.gguf | GGUF | IQ3_S | 13.44 GB | Download |
| GUI-Owl-1.5-32B-Instruct.i1-IQ3_XS.gguf | GGUF | IQ3_XS | 12.76 GB | Download |
| GUI-Owl-1.5-32B-Instruct.i1-IQ3_XXS.gguf | GGUF | IQ3_XXS | 11.94 GB | Download |
| GUI-Owl-1.5-32B-Instruct.i1-IQ4_XS.gguf | GGUF | IQ4_XS | 16.48 GB | Download |
| GUI-Owl-1.5-32B-Instruct.i1-Q2_K.gguf | GGUF | Q2_K | 11.50 GB | Download |
| GUI-Owl-1.5-32B-Instruct.i1-Q2_K_S.gguf | GGUF | Q2_K_S | 10.68 GB | Download |
| GUI-Owl-1.5-32B-Instruct.i1-Q3_K_L.gguf | GGUF | Q3_K_L | 16.14 GB | Download |
| GUI-Owl-1.5-32B-Instruct.i1-Q3_K_M.gguf | GGUF | Q3_K_M | 14.87 GB | Download |
| GUI-Owl-1.5-32B-Instruct.i1-Q3_K_S.gguf | GGUF | Q3_K_S | 13.40 GB | Download |
| GUI-Owl-1.5-32B-Instruct.i1-Q4_0.gguf | GGUF | — | 17.42 GB | Download |
| GUI-Owl-1.5-32B-Instruct.i1-Q4_1.gguf | GGUF | — | 19.22 GB | Download |
| GUI-Owl-1.5-32B-Instruct.i1-Q4_K_M.gguf | GGUF | Q4_K_M | 18.40 GB | Download |
| GUI-Owl-1.5-32B-Instruct.i1-Q4_K_S.gguf | GGUF | Q4_K_S | 17.48 GB | Download |
| GUI-Owl-1.5-32B-Instruct.i1-Q5_K_M.gguf | GGUF | Q5_K_M | 21.62 GB | Download |
| GUI-Owl-1.5-32B-Instruct.i1-Q5_K_S.gguf | GGUF | Q5_K_S | 21.08 GB | Download |
| GUI-Owl-1.5-32B-Instruct.i1-Q6_K.gguf | GGUF | Q6_K | 25.04 GB | Download |
| GUI-Owl-1.5-32B-Instruct.imatrix.gguf | GGUF | — | 14.57 MB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "mPLUG/GUI-Owl-1.5-32B-Instruct",
"language": [
"en"
],
"library_name": "transformers",
"license": "mit",
"mradermacher": {
"readme_rev": 1
},
"quantized_by": "mradermacher",
"tags": [
"arxiv:2602.16855"
],
"frontmatter": {
"base_model": "mPLUG/GUI-Owl-1.5-32B-Instruct",
"language": [
"en"
],
"library_name": "transformers",
"license": "mit",
"mradermacher": [],
"quantized_by": "mradermacher",
"tags": [
"arxiv:2602.16855"
]
},
"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About weighted/imatrix quants of https://huggingface.co/mPLUG/GUI-Owl-1.5-32B-Instruct ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/GUI-Owl-1.5-32B-Instruct-GGUF **This is a vision model - mmproj files (if any) will be in the static repository.**",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: mPLUG/GUI-Owl-1.5-32B-Instruct\nlanguage:\n- en\nlibrary_name: transformers\nlicense: mit\nmradermacher:\n readme_rev: 1\nquantized_by: mradermacher\ntags:\n- arxiv:2602.16855\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type: -->\n<!-- ### tags: nicoboss -->\n<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S -->\n<!-- ### quants_skip: -->\n<!-- ### skip_mmproj: -->\nweighted/imatrix quants of https://huggingface.co/mPLUG/GUI-Owl-1.5-32B-Instruct\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#GUI-Owl-1.5-32B-Instruct-i1-GGUF).***\n\nstatic quants are available at https://huggingface.co/mradermacher/GUI-Owl-1.5-32B-Instruct-GGUF\n\n**This is a vision model - mmproj files (if any) will be in the [static repository](https://huggingface.co/mradermacher/GUI-Owl-1.5-32B-Instruct-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/GUI-Owl-1.5-32B-Instruct-i1-GGUF/resolve/main/GUI-Owl-1.5-32B-Instruct.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |\n| [GGUF](https://huggingface.co/mradermacher/GUI-Owl-1.5-32B-Instruct-i1-GGUF/resolve/main/GUI-Owl-1.5-32B-Instruct.i1-IQ1_S.gguf) | i1-IQ1_S | 7.4 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/GUI-Owl-1.5-32B-Instruct-i1-GGUF/resolve/main/GUI-Owl-1.5-32B-Instruct.i1-IQ1_M.gguf) | i1-IQ1_M | 8.1 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/GUI-Owl-1.5-32B-Instruct-i1-GGUF/resolve/main/GUI-Owl-1.5-32B-Instruct.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 9.1 | |\n| [GGUF](https://huggingface.co/mradermacher/GUI-Owl-1.5-32B-Instruct-i1-GGUF/resolve/main/GUI-Owl-1.5-32B-Instruct.i1-IQ2_XS.gguf) | i1-IQ2_XS | 10.1 | |\n| [GGUF](https://huggingface.co/mradermacher/GUI-Owl-1.5-32B-Instruct-i1-GGUF/resolve/main/GUI-Owl-1.5-32B-Instruct.i1-IQ2_S.gguf) | i1-IQ2_S | 10.6 | |\n| [GGUF](https://huggingface.co/mradermacher/GUI-Owl-1.5-32B-Instruct-i1-GGUF/resolve/main/GUI-Owl-1.5-32B-Instruct.i1-IQ2_M.gguf) | i1-IQ2_M | 11.5 | |\n| [GGUF](https://huggingface.co/mradermacher/GUI-Owl-1.5-32B-Instruct-i1-GGUF/resolve/main/GUI-Owl-1.5-32B-Instruct.i1-Q2_K_S.gguf) | i1-Q2_K_S | 11.6 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/GUI-Owl-1.5-32B-Instruct-i1-GGUF/resolve/main/GUI-Owl-1.5-32B-Instruct.i1-Q2_K.gguf) | i1-Q2_K | 12.4 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/GUI-Owl-1.5-32B-Instruct-i1-GGUF/resolve/main/GUI-Owl-1.5-32B-Instruct.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 12.9 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/GUI-Owl-1.5-32B-Instruct-i1-GGUF/resolve/main/GUI-Owl-1.5-32B-Instruct.i1-IQ3_XS.gguf) | i1-IQ3_XS | 13.8 | |\n| [GGUF](https://huggingface.co/mradermacher/GUI-Owl-1.5-32B-Instruct-i1-GGUF/resolve/main/GUI-Owl-1.5-32B-Instruct.i1-Q3_K_S.gguf) | i1-Q3_K_S | 14.5 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/GUI-Owl-1.5-32B-Instruct-i1-GGUF/resolve/main/GUI-Owl-1.5-32B-Instruct.i1-IQ3_S.gguf) | i1-IQ3_S | 14.5 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/GUI-Owl-1.5-32B-Instruct-i1-GGUF/resolve/main/GUI-Owl-1.5-32B-Instruct.i1-IQ3_M.gguf) | i1-IQ3_M | 15.0 | |\n| [GGUF](https://huggingface.co/mradermacher/GUI-Owl-1.5-32B-Instruct-i1-GGUF/resolve/main/GUI-Owl-1.5-32B-Instruct.i1-Q3_K_M.gguf) | i1-Q3_K_M | 16.1 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/GUI-Owl-1.5-32B-Instruct-i1-GGUF/resolve/main/GUI-Owl-1.5-32B-Instruct.i1-Q3_K_L.gguf) | i1-Q3_K_L | 17.4 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/GUI-Owl-1.5-32B-Instruct-i1-GGUF/resolve/main/GUI-Owl-1.5-32B-Instruct.i1-IQ4_XS.gguf) | i1-IQ4_XS | 17.8 | |\n| [GGUF](https://huggingface.co/mradermacher/GUI-Owl-1.5-32B-Instruct-i1-GGUF/resolve/main/GUI-Owl-1.5-32B-Instruct.i1-Q4_0.gguf) | i1-Q4_0 | 18.8 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/GUI-Owl-1.5-32B-Instruct-i1-GGUF/resolve/main/GUI-Owl-1.5-32B-Instruct.i1-Q4_K_S.gguf) | i1-Q4_K_S | 18.9 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/GUI-Owl-1.5-32B-Instruct-i1-GGUF/resolve/main/GUI-Owl-1.5-32B-Instruct.i1-Q4_K_M.gguf) | i1-Q4_K_M | 19.9 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/GUI-Owl-1.5-32B-Instruct-i1-GGUF/resolve/main/GUI-Owl-1.5-32B-Instruct.i1-Q4_1.gguf) | i1-Q4_1 | 20.7 | |\n| [GGUF](https://huggingface.co/mradermacher/GUI-Owl-1.5-32B-Instruct-i1-GGUF/resolve/main/GUI-Owl-1.5-32B-Instruct.i1-Q5_K_S.gguf) | i1-Q5_K_S | 22.7 | |\n| [GGUF](https://huggingface.co/mradermacher/GUI-Owl-1.5-32B-Instruct-i1-GGUF/resolve/main/GUI-Owl-1.5-32B-Instruct.i1-Q5_K_M.gguf) | i1-Q5_K_M | 23.3 | |\n| [GGUF](https://huggingface.co/mradermacher/GUI-Owl-1.5-32B-Instruct-i1-GGUF/resolve/main/GUI-Owl-1.5-32B-Instruct.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\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",
"arxiv:2602.16855",
"en",
"base_model:mPLUG/GUI-Owl-1.5-32B-Instruct",
"base_model:quantized:mPLUG/GUI-Owl-1.5-32B-Instruct",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
],
"likes": 3,
"downloads": 142,
"gated": false,
"private": false,
"last_modified": "2026-02-20T09:27:44.000Z",
"created_at": "2026-02-18T09:47:42.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
"_id": "69958abef5e518cbb7abf24a",
"id": "mradermacher/GUI-Owl-1.5-32B-Instruct-i1-GGUF",
"modelId": "mradermacher/GUI-Owl-1.5-32B-Instruct-i1-GGUF",
"sha": "0bb1bb1f21534f0be508cfe0c29be110654fd7f8",
"createdAt": "2026-02-18T09:47:42.000Z",
"lastModified": "2026-02-20T09:27:44.000Z",
"author": "mradermacher",
"downloads": 142,
"likes": 3,
"gated": false,
"private": false,
"pipeline_tag": "",
"library_name": "transformers",
"siblings_count": 26
}