mradermacher/geneva-12b-gcv2-500k-gguf overview

{
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  "card_data": {
    "base_model": "rubenroy/Geneva-12B-GCv2-500k",
    "datasets": [
      "rubenroy/GammaCorpus-v2-500k"
    ],
    "language": [
      "en",
      "fr",
      "de",
      "es",
      "it",
      "pt",
      "ru",
      "zh",
      "ja"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "quantized_by": "mradermacher",
    "tags": [
      "text-generation-inference",
      "transformers",
      "unsloth",
      "trl",
      "gammacorpus",
      "geneva",
      "chat",
      "mistral",
      "conversational"
    ],
    "frontmatter": {
      "base_model": "rubenroy/Geneva-12B-GCv2-500k",
      "datasets": [
        "rubenroy/GammaCorpus-v2-500k"
      ],
      "language": [
        "en",
        "fr",
        "de",
        "es",
        "it",
        "pt",
        "ru",
        "zh",
        "ja"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "quantized_by": "mradermacher",
      "tags": [
        "text-generation-inference",
        "transformers",
        "unsloth",
        "trl",
        "gammacorpus",
        "geneva",
        "chat",
        "mistral",
        "conversational"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      static quants of https://huggingface.co/rubenroy/Geneva-12B-GCv2-500k  weighted/imatrix quants are available at https://huggingface.co/mradermacher/Geneva-12B-GCv2-500k-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: rubenroy/Geneva-12B-GCv2-500k\ndatasets:\n- rubenroy/GammaCorpus-v2-500k\nlanguage:\n- en\n- fr\n- de\n- es\n- it\n- pt\n- ru\n- zh\n- ja\nlibrary_name: transformers\nlicense: apache-2.0\nquantized_by: mradermacher\ntags:\n- text-generation-inference\n- transformers\n- unsloth\n- trl\n- gammacorpus\n- geneva\n- chat\n- mistral\n- conversational\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/rubenroy/Geneva-12B-GCv2-500k\n\n<!-- provided-files -->\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Geneva-12B-GCv2-500k-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/Geneva-12B-GCv2-500k-GGUF/resolve/main/Geneva-12B-GCv2-500k.Q2_K.gguf) | Q2_K | 4.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Geneva-12B-GCv2-500k-GGUF/resolve/main/Geneva-12B-GCv2-500k.Q3_K_S.gguf) | Q3_K_S | 5.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Geneva-12B-GCv2-500k-GGUF/resolve/main/Geneva-12B-GCv2-500k.Q3_K_M.gguf) | Q3_K_M | 6.2 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Geneva-12B-GCv2-500k-GGUF/resolve/main/Geneva-12B-GCv2-500k.Q3_K_L.gguf) | Q3_K_L | 6.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Geneva-12B-GCv2-500k-GGUF/resolve/main/Geneva-12B-GCv2-500k.IQ4_XS.gguf) | IQ4_XS | 6.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Geneva-12B-GCv2-500k-GGUF/resolve/main/Geneva-12B-GCv2-500k.Q4_K_S.gguf) | Q4_K_S | 7.2 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Geneva-12B-GCv2-500k-GGUF/resolve/main/Geneva-12B-GCv2-500k.Q4_K_M.gguf) | Q4_K_M | 7.6 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Geneva-12B-GCv2-500k-GGUF/resolve/main/Geneva-12B-GCv2-500k.Q5_K_S.gguf) | Q5_K_S | 8.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Geneva-12B-GCv2-500k-GGUF/resolve/main/Geneva-12B-GCv2-500k.Q5_K_M.gguf) | Q5_K_M | 8.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Geneva-12B-GCv2-500k-GGUF/resolve/main/Geneva-12B-GCv2-500k.Q6_K.gguf) | Q6_K | 10.2 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Geneva-12B-GCv2-500k-GGUF/resolve/main/Geneva-12B-GCv2-500k.Q8_0.gguf) | Q8_0 | 13.1 | 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",
    "text-generation-inference",
    "unsloth",
    "trl",
    "gammacorpus",
    "geneva",
    "chat",
    "mistral",
    "conversational",
    "en",
    "fr",
    "de",
    "es",
    "it",
    "pt",
    "ru",
    "zh",
    "ja",
    "dataset:rubenroy/GammaCorpus-v2-500k",
    "base_model:rubenroy/Geneva-12B-GCv2-500k",
    "base_model:quantized:rubenroy/Geneva-12B-GCv2-500k",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us"
  ],
  "likes": 1,
  "downloads": 540,
  "gated": false,
  "private": false,
  "last_modified": "2025-02-04T10:30:05.000Z",
  "created_at": "2025-02-04T08:37:51.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

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  "createdAt": "2025-02-04T08:37:51.000Z",
  "lastModified": "2025-02-04T10:30:05.000Z",
  "author": "mradermacher",
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