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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.

transformersggufmultimodalactionpytorchcomputer usegui agentsenbase_model:Hcompany/Holo2-235B-A22Bbase_model:quantized:Hcompany/Holo2-235B-A22Blicense:cc-by-nc-4.0endpoints_compatibleregion:usimatrixconversational
mradermacher/holo2-235b-a22b-i1-gguf visual
Downloads
303
Likes
0
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

24 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
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

Model Slug
mradermacher/holo2-235b-a22b-i1-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2026-02-23
Last Modified
2026-02-27
Gated
No
Private
No
HF SHA
fb99243c832eb297e7b0316ff5e8240de5ed2a98
License
cc-by-nc-4.0
Language
en
Base Model
Hcompany/Holo2-235B-A22B

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![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",
    "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)
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