Model Intelligence Sheet
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
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Pipeline
—
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
24 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| 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
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "joermd/XORTRON-123B",
"language": [
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"library_name": "transformers",
"license": "wtfpl",
"mradermacher": {
"readme_rev": 1
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"quantized_by": "mradermacher",
"tags": [
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"frontmatter": {
"base_model": "joermd/XORTRON-123B",
"language": [
"en",
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"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",
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"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\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": []
},
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"base_model:quantized:joermd/XORTRON-123B",
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"likes": 0,
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"last_modified": "2026-03-22T08:46:23.000Z",
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Source payload excerpt (from Hugging Face API)
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