mradermacher/gemma-3-12b-fornaxv.2-qat-cot-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "ConicCat/Gemma-3-12B-FornaxV.2-QAT-CoT",
    "datasets": [
      "GeneralReasoning/GeneralThought-430K",
      "Undi95/R1-RP-ShareGPT3",
      "PJMixers-Dev/Gryphe-Aesir-RPG-Charcards-Opus-Mixed-split-v3-0324"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "gemma",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "gemma3",
      "gemma",
      "google"
    ],
    "frontmatter": {
      "base_model": "ConicCat/Gemma-3-12B-FornaxV.2-QAT-CoT",
      "datasets": [
        "GeneralReasoning/GeneralThought-430K",
        "Undi95/R1-RP-ShareGPT3",
        "PJMixers-Dev/Gryphe-Aesir-RPG-Charcards-Opus-Mixed-split-v3-0324"
      ],
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "gemma",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "gemma3",
        "gemma",
        "google"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      static quants of https://huggingface.co/ConicCat/Gemma-3-12B-FornaxV.2-QAT-CoT  ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Gemma-3-12B-FornaxV.2-QAT-CoT-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: ConicCat/Gemma-3-12B-FornaxV.2-QAT-CoT\ndatasets:\n- GeneralReasoning/GeneralThought-430K\n- Undi95/R1-RP-ShareGPT3\n- PJMixers-Dev/Gryphe-Aesir-RPG-Charcards-Opus-Mixed-split-v3-0324\nlanguage:\n- en\nlibrary_name: transformers\nlicense: gemma\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- gemma3\n- gemma\n- google\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags:  -->\nstatic quants of https://huggingface.co/ConicCat/Gemma-3-12B-FornaxV.2-QAT-CoT\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#Gemma-3-12B-FornaxV.2-QAT-CoT-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Gemma-3-12B-FornaxV.2-QAT-CoT-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/Gemma-3-12B-FornaxV.2-QAT-CoT-GGUF/resolve/main/Gemma-3-12B-FornaxV.2-QAT-CoT.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.7 | multi-modal supplement |\n| [GGUF](https://huggingface.co/mradermacher/Gemma-3-12B-FornaxV.2-QAT-CoT-GGUF/resolve/main/Gemma-3-12B-FornaxV.2-QAT-CoT.mmproj-f16.gguf) | mmproj-f16 | 1.0 | multi-modal supplement |\n| [GGUF](https://huggingface.co/mradermacher/Gemma-3-12B-FornaxV.2-QAT-CoT-GGUF/resolve/main/Gemma-3-12B-FornaxV.2-QAT-CoT.Q2_K.gguf) | Q2_K | 4.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Gemma-3-12B-FornaxV.2-QAT-CoT-GGUF/resolve/main/Gemma-3-12B-FornaxV.2-QAT-CoT.Q3_K_S.gguf) | Q3_K_S | 5.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Gemma-3-12B-FornaxV.2-QAT-CoT-GGUF/resolve/main/Gemma-3-12B-FornaxV.2-QAT-CoT.Q3_K_M.gguf) | Q3_K_M | 6.1 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Gemma-3-12B-FornaxV.2-QAT-CoT-GGUF/resolve/main/Gemma-3-12B-FornaxV.2-QAT-CoT.Q3_K_L.gguf) | Q3_K_L | 6.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Gemma-3-12B-FornaxV.2-QAT-CoT-GGUF/resolve/main/Gemma-3-12B-FornaxV.2-QAT-CoT.IQ4_XS.gguf) | IQ4_XS | 6.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Gemma-3-12B-FornaxV.2-QAT-CoT-GGUF/resolve/main/Gemma-3-12B-FornaxV.2-QAT-CoT.Q4_K_S.gguf) | Q4_K_S | 7.0 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Gemma-3-12B-FornaxV.2-QAT-CoT-GGUF/resolve/main/Gemma-3-12B-FornaxV.2-QAT-CoT.Q4_K_M.gguf) | Q4_K_M | 7.4 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Gemma-3-12B-FornaxV.2-QAT-CoT-GGUF/resolve/main/Gemma-3-12B-FornaxV.2-QAT-CoT.Q5_K_S.gguf) | Q5_K_S | 8.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Gemma-3-12B-FornaxV.2-QAT-CoT-GGUF/resolve/main/Gemma-3-12B-FornaxV.2-QAT-CoT.Q5_K_M.gguf) | Q5_K_M | 8.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Gemma-3-12B-FornaxV.2-QAT-CoT-GGUF/resolve/main/Gemma-3-12B-FornaxV.2-QAT-CoT.Q6_K.gguf) | Q6_K | 9.8 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Gemma-3-12B-FornaxV.2-QAT-CoT-GGUF/resolve/main/Gemma-3-12B-FornaxV.2-QAT-CoT.Q8_0.gguf) | Q8_0 | 12.6 | 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",
    "gemma3",
    "gemma",
    "google",
    "en",
    "dataset:GeneralReasoning/GeneralThought-430K",
    "dataset:Undi95/R1-RP-ShareGPT3",
    "dataset:PJMixers-Dev/Gryphe-Aesir-RPG-Charcards-Opus-Mixed-split-v3-0324",
    "base_model:ConicCat/Gemma-3-12B-FornaxV.2-QAT-CoT",
    "base_model:quantized:ConicCat/Gemma-3-12B-FornaxV.2-QAT-CoT",
    "license:gemma",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 1537,
  "gated": false,
  "private": false,
  "last_modified": "2025-07-31T05:11:16.000Z",
  "created_at": "2025-05-07T20:52:46.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

{
  "_id": "681bc81e2df93249c4c17329",
  "id": "mradermacher/Gemma-3-12B-FornaxV.2-QAT-CoT-GGUF",
  "modelId": "mradermacher/Gemma-3-12B-FornaxV.2-QAT-CoT-GGUF",
  "sha": "af00926b0d3a8b877f3d67eb838ab646e0f2964e",
  "createdAt": "2025-05-07T20:52:46.000Z",
  "lastModified": "2025-07-31T05:11:16.000Z",
  "author": "mradermacher",
  "downloads": 1537,
  "likes": 0,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "transformers",
  "siblings_count": 15
}