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mradermacher/xortron-123b-i1-gguf overview

About weighted/imatrix quants of https://huggingface.co/joermd/XORTRON-123B For a convenient overview and download list, visit our model page for this model. static quants are available at https://huggingface.co/mradermacher/XORTRON-123B-GGUF

transformersggufhereticuncensoreddecensoredabliteratedenfrdeesitptzhjarukobase_model:joermd/XORTRON-123Bbase_model:quantized:joermd/XORTRON-123Blicense:wtfplendpoints_compatibleregion:usimatrixconversational
mradermacher/xortron-123b-i1-gguf visual
Downloads
1,461
Likes
0
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

24 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
XORTRON-123B.i1-IQ1_M.gguf GGUF IQ1_M 26.44 GB Download
XORTRON-123B.i1-IQ1_S.gguf GGUF IQ1_S 24.18 GB Download
XORTRON-123B.i1-IQ2_M.gguf GGUF IQ2_M 38.76 GB Download
XORTRON-123B.i1-IQ2_S.gguf GGUF IQ2_S 35.75 GB Download
XORTRON-123B.i1-IQ2_XS.gguf GGUF IQ2_XS 33.60 GB Download
XORTRON-123B.i1-IQ2_XXS.gguf GGUF IQ2_XXS 30.20 GB Download
XORTRON-123B.i1-IQ3_M.gguf GGUF IQ3_M 51.48 GB Download
XORTRON-123B.i1-IQ3_S.gguf GGUF IQ3_S 49.36 GB Download
XORTRON-123B.i1-IQ3_XS.gguf GGUF IQ3_XS 46.70 GB Download
XORTRON-123B.i1-IQ3_XXS.gguf GGUF IQ3_XXS 43.78 GB Download
XORTRON-123B.i1-IQ4_XS.gguf GGUF IQ4_XS 60.94 GB Download
XORTRON-123B.i1-Q2_K.gguf GGUF Q2_K 42.09 GB Download
XORTRON-123B.i1-Q2_K_S.gguf GGUF Q2_K_S 38.75 GB Download
XORTRON-123B.i1-Q3_K_L.gguf GGUF Q3_K_L 60.12 GB Download
XORTRON-123B.i1-Q3_K_M.gguf GGUF Q3_K_M 55.04 GB Download
XORTRON-123B.i1-Q3_K_S.gguf GGUF Q3_K_S 49.22 GB Download
XORTRON-123B.i1-Q4_0.gguf GGUF 64.56 GB Download
XORTRON-123B.i1-Q4_1.gguf GGUF 71.45 GB Download
XORTRON-123B.i1-Q4_K_M.gguf GGUF Q4_K_M 68.19 GB Download
XORTRON-123B.i1-Q4_K_S.gguf GGUF Q4_K_S 64.79 GB Download
XORTRON-123B.i1-Q5_K_M.gguf GGUF Q5_K_M 80.55 GB Download
XORTRON-123B.i1-Q5_K_S.gguf GGUF Q5_K_S 78.56 GB Download
XORTRON-123B.i1-Q6_K.gguf GGUF Q6_K 93.68 GB Download
XORTRON-123B.imatrix.gguf GGUF 34.47 MB Download

Model Details Live

Model Slug
mradermacher/xortron-123b-i1-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2026-03-21
Last Modified
2026-03-22
Gated
No
Private
No
HF SHA
6ca59488312d18e031ff097910f5b90b434388ab
License
wtfpl
Language
en, fr, de, es, it, pt, zh, ja, ru, ko
Base Model
joermd/XORTRON-123B

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "joermd/XORTRON-123B",
    "language": [
      "en",
      "fr",
      "de",
      "es",
      "it",
      "pt",
      "zh",
      "ja",
      "ru",
      "ko"
    ],
    "library_name": "transformers",
    "license": "wtfpl",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "heretic",
      "uncensored",
      "decensored",
      "abliterated",
      "transformers"
    ],
    "frontmatter": {
      "base_model": "joermd/XORTRON-123B",
      "language": [
        "en",
        "fr",
        "de",
        "es",
        "it",
        "pt",
        "zh",
        "ja",
        "ru",
        "ko"
      ],
      "library_name": "transformers",
      "license": "wtfpl",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "heretic",
        "uncensored",
        "decensored",
        "abliterated",
        "transformers"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         weighted/imatrix quants of https://huggingface.co/joermd/XORTRON-123B  ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/XORTRON-123B-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: joermd/XORTRON-123B\nlanguage:\n- en\n- fr\n- de\n- es\n- it\n- pt\n- zh\n- ja\n- ru\n- ko\nlibrary_name: transformers\nlicense: wtfpl\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- heretic\n- uncensored\n- decensored\n- abliterated\n- transformers\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/joermd/XORTRON-123B\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#XORTRON-123B-i1-GGUF).***\n\nstatic quants are available at https://huggingface.co/mradermacher/XORTRON-123B-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/XORTRON-123B-i1-GGUF/resolve/main/XORTRON-123B.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |\n| [GGUF](https://huggingface.co/mradermacher/XORTRON-123B-i1-GGUF/resolve/main/XORTRON-123B.i1-IQ1_S.gguf) | i1-IQ1_S | 26.1 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/XORTRON-123B-i1-GGUF/resolve/main/XORTRON-123B.i1-IQ1_M.gguf) | i1-IQ1_M | 28.5 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/XORTRON-123B-i1-GGUF/resolve/main/XORTRON-123B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 32.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/XORTRON-123B-i1-GGUF/resolve/main/XORTRON-123B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 36.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/XORTRON-123B-i1-GGUF/resolve/main/XORTRON-123B.i1-IQ2_S.gguf) | i1-IQ2_S | 38.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/XORTRON-123B-i1-GGUF/resolve/main/XORTRON-123B.i1-Q2_K_S.gguf) | i1-Q2_K_S | 41.7 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/XORTRON-123B-i1-GGUF/resolve/main/XORTRON-123B.i1-IQ2_M.gguf) | i1-IQ2_M | 41.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/XORTRON-123B-i1-GGUF/resolve/main/XORTRON-123B.i1-Q2_K.gguf) | i1-Q2_K | 45.3 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/XORTRON-123B-i1-GGUF/resolve/main/XORTRON-123B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 47.1 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/XORTRON-123B-i1-GGUF/resolve/main/XORTRON-123B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 50.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/XORTRON-123B-i1-GGUF/resolve/main/XORTRON-123B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 52.9 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/XORTRON-123B-i1-GGUF/resolve/main/XORTRON-123B.i1-IQ3_S.gguf) | i1-IQ3_S | 53.1 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/XORTRON-123B-i1-GGUF/resolve/main/XORTRON-123B.i1-IQ3_M.gguf) | i1-IQ3_M | 55.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/XORTRON-123B-i1-GGUF/resolve/main/XORTRON-123B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 59.2 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/XORTRON-123B-i1-GGUF/resolve/main/XORTRON-123B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 64.7 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/XORTRON-123B-i1-GGUF/resolve/main/XORTRON-123B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 65.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/XORTRON-123B-i1-GGUF/resolve/main/XORTRON-123B.i1-Q4_0.gguf) | i1-Q4_0 | 69.4 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/XORTRON-123B-i1-GGUF/resolve/main/XORTRON-123B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 69.7 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/XORTRON-123B-i1-GGUF/resolve/main/XORTRON-123B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 73.3 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/XORTRON-123B-i1-GGUF/resolve/main/XORTRON-123B.i1-Q4_1.gguf) | i1-Q4_1 | 76.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/XORTRON-123B-i1-GGUF/resolve/main/XORTRON-123B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 84.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/XORTRON-123B-i1-GGUF/resolve/main/XORTRON-123B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 86.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/XORTRON-123B-i1-GGUF/resolve/main/XORTRON-123B.i1-Q6_K.gguf) | i1-Q6_K | 100.7 | 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": [
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    "gguf",
    "heretic",
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    "decensored",
    "abliterated",
    "en",
    "fr",
    "de",
    "es",
    "it",
    "pt",
    "zh",
    "ja",
    "ru",
    "ko",
    "base_model:joermd/XORTRON-123B",
    "base_model:quantized:joermd/XORTRON-123B",
    "license:wtfpl",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ],
  "likes": 0,
  "downloads": 1461,
  "gated": false,
  "private": false,
  "last_modified": "2026-03-22T08:46:23.000Z",
  "created_at": "2026-03-21T08:12:26.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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