mradermacher/holo2-235b-a22b-i1-gguf IQ3_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/holo2-235b-a22b-i1-gguf overview
About weighted/imatrix quants of https://huggingface.co/Hcompany/Holo2-235B-A22B For a convenient overview and download list, visit our model page for this model. static quants are available at https://huggingface.co/mradermacher/Holo2-235B-A22B-GGUF This is a vision model - mmproj files (if any) will be in the static repository.
Downloads
303
Likes
0
Pipeline
—
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
24 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Holo2-235B-A22B.i1-IQ1_M.gguf | GGUF | IQ1_M | 49.49 GB | Download |
| Holo2-235B-A22B.i1-IQ1_S.gguf | GGUF | IQ1_S | 44.66 GB | Download |
| Holo2-235B-A22B.i1-IQ2_M.gguf | GGUF | IQ2_M | 71.85 GB | Download |
| Holo2-235B-A22B.i1-IQ2_S.gguf | GGUF | IQ2_S | 65.40 GB | Download |
| Holo2-235B-A22B.i1-IQ2_XS.gguf | GGUF | IQ2_XS | 64.09 GB | Download |
| Holo2-235B-A22B.i1-IQ2_XXS.gguf | GGUF | IQ2_XXS | 57.55 GB | Download |
| Holo2-235B-A22B.i1-IQ3_M.gguf | GGUF | IQ3_M | 95.99 GB | Download |
| Holo2-235B-A22B.i1-IQ3_S.gguf | GGUF | IQ3_S | 94.50 GB | Download |
| Holo2-235B-A22B.i1-IQ3_XS.gguf | GGUF | IQ3_XS | 89.36 GB | Download |
| Holo2-235B-A22B.i1-IQ3_XXS.gguf | GGUF | IQ3_XXS | 84.17 GB | Download |
| Holo2-235B-A22B.i1-IQ4_XS.gguf | GGUF | IQ4_XS | 116.68 GB | Download |
| Holo2-235B-A22B.i1-Q2_K.gguf | GGUF | Q2_K | 79.81 GB | Download |
| Holo2-235B-A22B.i1-Q2_K_S.gguf | GGUF | Q2_K_S | 74.28 GB | Download |
| Holo2-235B-A22B.i1-Q3_K_L.gguf | GGUF | Q3_K_L | 113.46 GB | Download |
| Holo2-235B-A22B.i1-Q3_K_M.gguf | GGUF | Q3_K_M | 104.72 GB | Download |
| Holo2-235B-A22B.i1-Q3_K_S.gguf | GGUF | Q3_K_S | 94.48 GB | Download |
| Holo2-235B-A22B.i1-Q4_0.gguf | GGUF | — | 123.99 GB | Download |
| Holo2-235B-A22B.i1-Q4_1.gguf | GGUF | — | 137.12 GB | Download |
| Holo2-235B-A22B.i1-Q4_K_M.gguf | GGUF | Q4_K_M | 132.39 GB | Download |
| Holo2-235B-A22B.i1-Q4_K_S.gguf | GGUF | Q4_K_S | 124.51 GB | Download |
| Holo2-235B-A22B.i1-Q5_K_M.gguf | GGUF | Q5_K_M | 155.36 GB | Download |
| Holo2-235B-A22B.i1-Q5_K_S.gguf | GGUF | Q5_K_S | 150.76 GB | Download |
| Holo2-235B-A22B.i1-Q6_K.gguf | GGUF | Q6_K | 179.76 GB | Download |
| Holo2-235B-A22B.imatrix.gguf | GGUF | — | 455.56 MB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "Hcompany/Holo2-235B-A22B",
"language": [
"en"
],
"library_name": "transformers",
"license": "cc-by-nc-4.0",
"mradermacher": {
"readme_rev": 1
},
"quantized_by": "mradermacher",
"tags": [
"multimodal",
"action",
"pytorch",
"computer use",
"gui agents"
],
"frontmatter": {
"base_model": "Hcompany/Holo2-235B-A22B",
"language": [
"en"
],
"library_name": "transformers",
"license": "cc-by-nc-4.0",
"mradermacher": [],
"quantized_by": "mradermacher",
"tags": [
"multimodal",
"action",
"pytorch",
"computer use",
"gui agents"
]
},
"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About weighted/imatrix quants of https://huggingface.co/Hcompany/Holo2-235B-A22B ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/Holo2-235B-A22B-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: Hcompany/Holo2-235B-A22B\nlanguage:\n- en\nlibrary_name: transformers\nlicense: cc-by-nc-4.0\nmradermacher:\n readme_rev: 1\nquantized_by: mradermacher\ntags:\n- multimodal\n- action\n- pytorch\n- computer use\n- gui agents\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/Hcompany/Holo2-235B-A22B\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#Holo2-235B-A22B-i1-GGUF).***\n\nstatic quants are available at https://huggingface.co/mradermacher/Holo2-235B-A22B-GGUF\n\n**This is a vision model - mmproj files (if any) will be in the [static repository](https://huggingface.co/mradermacher/Holo2-235B-A22B-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/Holo2-235B-A22B-i1-GGUF/resolve/main/Holo2-235B-A22B.imatrix.gguf) | imatrix | 0.6 | imatrix file (for creating your own quants) |\n| [GGUF](https://huggingface.co/mradermacher/Holo2-235B-A22B-i1-GGUF/resolve/main/Holo2-235B-A22B.i1-IQ1_S.gguf) | i1-IQ1_S | 48.0 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/Holo2-235B-A22B-i1-GGUF/resolve/main/Holo2-235B-A22B.i1-IQ1_M.gguf) | i1-IQ1_M | 53.2 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/Holo2-235B-A22B-i1-GGUF/resolve/main/Holo2-235B-A22B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 61.9 | |\n| [GGUF](https://huggingface.co/mradermacher/Holo2-235B-A22B-i1-GGUF/resolve/main/Holo2-235B-A22B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 68.9 | |\n| [GGUF](https://huggingface.co/mradermacher/Holo2-235B-A22B-i1-GGUF/resolve/main/Holo2-235B-A22B.i1-IQ2_S.gguf) | i1-IQ2_S | 70.3 | |\n| [GGUF](https://huggingface.co/mradermacher/Holo2-235B-A22B-i1-GGUF/resolve/main/Holo2-235B-A22B.i1-IQ2_M.gguf) | i1-IQ2_M | 77.3 | |\n| [GGUF](https://huggingface.co/mradermacher/Holo2-235B-A22B-i1-GGUF/resolve/main/Holo2-235B-A22B.i1-Q2_K_S.gguf) | i1-Q2_K_S | 79.9 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/Holo2-235B-A22B-i1-GGUF/resolve/main/Holo2-235B-A22B.i1-Q2_K.gguf) | i1-Q2_K | 85.8 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Holo2-235B-A22B-i1-GGUF/resolve/main/Holo2-235B-A22B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 90.5 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Holo2-235B-A22B-i1-GGUF/resolve/main/Holo2-235B-A22B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 96.1 | |\n| [GGUF](https://huggingface.co/mradermacher/Holo2-235B-A22B-i1-GGUF/resolve/main/Holo2-235B-A22B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 101.5 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Holo2-235B-A22B-i1-GGUF/resolve/main/Holo2-235B-A22B.i1-IQ3_S.gguf) | i1-IQ3_S | 101.6 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Holo2-235B-A22B-i1-GGUF/resolve/main/Holo2-235B-A22B.i1-IQ3_M.gguf) | i1-IQ3_M | 103.2 | |\n| [GGUF](https://huggingface.co/mradermacher/Holo2-235B-A22B-i1-GGUF/resolve/main/Holo2-235B-A22B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 112.5 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/Holo2-235B-A22B-i1-GGUF/resolve/main/Holo2-235B-A22B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 121.9 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/Holo2-235B-A22B-i1-GGUF/resolve/main/Holo2-235B-A22B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 125.4 | |\n| [GGUF](https://huggingface.co/mradermacher/Holo2-235B-A22B-i1-GGUF/resolve/main/Holo2-235B-A22B.i1-Q4_0.gguf) | i1-Q4_0 | 133.2 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Holo2-235B-A22B-i1-GGUF/resolve/main/Holo2-235B-A22B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 133.8 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/Holo2-235B-A22B-i1-GGUF/resolve/main/Holo2-235B-A22B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 142.3 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Holo2-235B-A22B-i1-GGUF/resolve/main/Holo2-235B-A22B.i1-Q4_1.gguf) | i1-Q4_1 | 147.3 | |\n| [GGUF](https://huggingface.co/mradermacher/Holo2-235B-A22B-i1-GGUF/resolve/main/Holo2-235B-A22B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 162.0 | |\n| [GGUF](https://huggingface.co/mradermacher/Holo2-235B-A22B-i1-GGUF/resolve/main/Holo2-235B-A22B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 166.9 | |\n| [GGUF](https://huggingface.co/mradermacher/Holo2-235B-A22B-i1-GGUF/resolve/main/Holo2-235B-A22B.i1-Q6_K.gguf) | i1-Q6_K | 193.1 | 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",
"multimodal",
"action",
"pytorch",
"computer use",
"gui agents",
"en",
"base_model:Hcompany/Holo2-235B-A22B",
"base_model:quantized:Hcompany/Holo2-235B-A22B",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
],
"likes": 0,
"downloads": 303,
"gated": false,
"private": false,
"last_modified": "2026-02-27T07:16:19.000Z",
"created_at": "2026-02-23T16:51:15.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
"_id": "699c85839fd7c2e89d188d9b",
"id": "mradermacher/Holo2-235B-A22B-i1-GGUF",
"modelId": "mradermacher/Holo2-235B-A22B-i1-GGUF",
"sha": "fb99243c832eb297e7b0316ff5e8240de5ed2a98",
"createdAt": "2026-02-23T16:51:15.000Z",
"lastModified": "2026-02-27T07:16:19.000Z",
"author": "mradermacher",
"downloads": 303,
"likes": 0,
"gated": false,
"private": false,
"pipeline_tag": "",
"library_name": "transformers",
"siblings_count": 26
}