mradermacher/behemoth-t1-123b-gguf overview

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  "card_data": {
    "base_model": "tacodevs/Behemoth-T1-123B",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "other",
    "license_link": "https://mistral.ai/licenses/MNPL-0.1.md",
    "license_name": "mistral-ai-research-license",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "mistral",
      "mistral-large",
      "123b",
      "roleplay",
      "creative-writing",
      "thinking",
      "reasoning",
      "lora",
      "distillation",
      "claude-opus"
    ],
    "frontmatter": {
      "base_model": "tacodevs/Behemoth-T1-123B",
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "other",
      "license_link": "https://mistral.ai/licenses/MNPL-0.1.md",
      "license_name": "mistral-ai-research-license",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "mistral",
        "mistral-large",
        "123b",
        "roleplay",
        "creative-writing",
        "thinking",
        "reasoning",
        "lora",
        "distillation",
        "claude-opus"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         static quants of https://huggingface.co/tacodevs/Behemoth-T1-123B  ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Behemoth-T1-123B-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: tacodevs/Behemoth-T1-123B\nlanguage:\n- en\nlibrary_name: transformers\nlicense: other\nlicense_link: https://mistral.ai/licenses/MNPL-0.1.md\nlicense_name: mistral-ai-research-license\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- mistral\n- mistral-large\n- 123b\n- roleplay\n- creative-writing\n- thinking\n- reasoning\n- lora\n- distillation\n- claude-opus\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags:  -->\n<!-- ### quants:  x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->\n<!-- ### quants_skip:  -->\n<!-- ### skip_mmproj:  -->\nstatic quants of https://huggingface.co/tacodevs/Behemoth-T1-123B\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#Behemoth-T1-123B-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Behemoth-T1-123B-i1-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/Behemoth-T1-123B-GGUF/resolve/main/Behemoth-T1-123B.Q2_K.gguf) | Q2_K | 45.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Behemoth-T1-123B-GGUF/resolve/main/Behemoth-T1-123B.Q3_K_S.gguf) | Q3_K_S | 52.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Behemoth-T1-123B-GGUF/resolve/main/Behemoth-T1-123B.Q3_K_M.gguf) | Q3_K_M | 59.2 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Behemoth-T1-123B-GGUF/resolve/main/Behemoth-T1-123B.Q3_K_L.gguf) | Q3_K_L | 64.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Behemoth-T1-123B-GGUF/resolve/main/Behemoth-T1-123B.IQ4_XS.gguf) | IQ4_XS | 66.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/Behemoth-T1-123B-GGUF/resolve/main/Behemoth-T1-123B.Q4_K_S.gguf) | Q4_K_S | 69.7 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Behemoth-T1-123B-GGUF/resolve/main/Behemoth-T1-123B.Q4_K_M.gguf) | Q4_K_M | 73.3 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Behemoth-T1-123B-GGUF/resolve/main/Behemoth-T1-123B.Q5_K_S.gguf) | Q5_K_S | 84.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Behemoth-T1-123B-GGUF/resolve/main/Behemoth-T1-123B.Q5_K_M.gguf) | Q5_K_M | 86.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Behemoth-T1-123B-GGUF/resolve/main/Behemoth-T1-123B.Q6_K.gguf) | Q6_K | 100.7 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Behemoth-T1-123B-GGUF/resolve/main/Behemoth-T1-123B.Q8_0.gguf) | Q8_0 | 130.4 | fast, best quality |\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.\n\n<!-- end -->\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "mistral",
    "mistral-large",
    "123b",
    "roleplay",
    "creative-writing",
    "thinking",
    "reasoning",
    "lora",
    "distillation",
    "claude-opus",
    "en",
    "base_model:tacodevs/Behemoth-T1-123B",
    "base_model:adapter:tacodevs/Behemoth-T1-123B",
    "license:other",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 507,
  "gated": false,
  "private": false,
  "last_modified": "2026-04-12T05:09:20.000Z",
  "created_at": "2026-04-08T01:33:43.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

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  "createdAt": "2026-04-08T01:33:43.000Z",
  "lastModified": "2026-04-12T05:09:20.000Z",
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