mradermacher/viking-magnum-v0.1-7b-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "mpasila/Viking-Magnum-v0.1-7B",
    "datasets": [
      "mpasila/Magnum-V2-Mix",
      "anthracite-org/Stheno-Data-Filtered",
      "anthracite-org/kalo-opus-instruct-22k-no-refusal",
      "anthracite-org/nopm_claude_writing_fixed"
    ],
    "language": [
      "en",
      "fi",
      "sv",
      "no",
      "da",
      "is",
      "nn"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "no_imatrix": "nan1",
    "quantized_by": "mradermacher",
    "tags": [
      "text-generation-inference",
      "transformers",
      "unsloth",
      "llama",
      "trl",
      "sft"
    ],
    "frontmatter": {
      "base_model": "mpasila/Viking-Magnum-v0.1-7B",
      "datasets": [
        "mpasila/Magnum-V2-Mix",
        "anthracite-org/Stheno-Data-Filtered",
        "anthracite-org/kalo-opus-instruct-22k-no-refusal",
        "anthracite-org/nopm_claude_writing_fixed"
      ],
      "language": [
        "en",
        "fi",
        "sv",
        "no",
        "da",
        "is",
        "nn"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "no_imatrix": "nan1",
      "quantized_by": "mradermacher",
      "tags": [
        "text-generation-inference",
        "transformers",
        "unsloth",
        "llama",
        "trl",
        "sft"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      static quants of https://huggingface.co/mpasila/Viking-Magnum-v0.1-7B",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: mpasila/Viking-Magnum-v0.1-7B\ndatasets:\n- mpasila/Magnum-V2-Mix\n- anthracite-org/Stheno-Data-Filtered\n- anthracite-org/kalo-opus-instruct-22k-no-refusal\n- anthracite-org/nopm_claude_writing_fixed\nlanguage:\n- en\n- fi\n- sv\n- no\n- da\n- is\n- nn\nlibrary_name: transformers\nlicense: apache-2.0\nno_imatrix: nan1\nquantized_by: mradermacher\ntags:\n- text-generation-inference\n- transformers\n- unsloth\n- llama\n- trl\n- sft\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/mpasila/Viking-Magnum-v0.1-7B\n\n<!-- provided-files -->\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/Viking-Magnum-v0.1-7B-GGUF/resolve/main/Viking-Magnum-v0.1-7B.Q2_K.gguf) | Q2_K | 3.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/Viking-Magnum-v0.1-7B-GGUF/resolve/main/Viking-Magnum-v0.1-7B.IQ3_XS.gguf) | IQ3_XS | 3.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Viking-Magnum-v0.1-7B-GGUF/resolve/main/Viking-Magnum-v0.1-7B.IQ3_S.gguf) | IQ3_S | 3.6 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Viking-Magnum-v0.1-7B-GGUF/resolve/main/Viking-Magnum-v0.1-7B.Q3_K_S.gguf) | Q3_K_S | 3.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Viking-Magnum-v0.1-7B-GGUF/resolve/main/Viking-Magnum-v0.1-7B.IQ3_M.gguf) | IQ3_M | 3.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Viking-Magnum-v0.1-7B-GGUF/resolve/main/Viking-Magnum-v0.1-7B.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Viking-Magnum-v0.1-7B-GGUF/resolve/main/Viking-Magnum-v0.1-7B.Q3_K_L.gguf) | Q3_K_L | 4.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Viking-Magnum-v0.1-7B-GGUF/resolve/main/Viking-Magnum-v0.1-7B.IQ4_XS.gguf) | IQ4_XS | 4.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Viking-Magnum-v0.1-7B-GGUF/resolve/main/Viking-Magnum-v0.1-7B.Q4_K_S.gguf) | Q4_K_S | 4.5 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Viking-Magnum-v0.1-7B-GGUF/resolve/main/Viking-Magnum-v0.1-7B.Q4_K_M.gguf) | Q4_K_M | 4.7 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Viking-Magnum-v0.1-7B-GGUF/resolve/main/Viking-Magnum-v0.1-7B.Q5_K_S.gguf) | Q5_K_S | 5.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Viking-Magnum-v0.1-7B-GGUF/resolve/main/Viking-Magnum-v0.1-7B.Q5_K_M.gguf) | Q5_K_M | 5.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Viking-Magnum-v0.1-7B-GGUF/resolve/main/Viking-Magnum-v0.1-7B.Q6_K.gguf) | Q6_K | 6.3 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Viking-Magnum-v0.1-7B-GGUF/resolve/main/Viking-Magnum-v0.1-7B.Q8_0.gguf) | Q8_0 | 8.1 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/Viking-Magnum-v0.1-7B-GGUF/resolve/main/Viking-Magnum-v0.1-7B.f16.gguf) | f16 | 15.2 | 16 bpw, overkill |\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",
    "llama",
    "trl",
    "sft",
    "en",
    "fi",
    "sv",
    "no",
    "da",
    "is",
    "nn",
    "dataset:mpasila/Magnum-V2-Mix",
    "dataset:anthracite-org/Stheno-Data-Filtered",
    "dataset:anthracite-org/kalo-opus-instruct-22k-no-refusal",
    "dataset:anthracite-org/nopm_claude_writing_fixed",
    "base_model:mpasila/Viking-Magnum-v0.1-7B",
    "base_model:quantized:mpasila/Viking-Magnum-v0.1-7B",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 2,
  "downloads": 126,
  "gated": false,
  "private": false,
  "last_modified": "2024-08-24T09:17:43.000Z",
  "created_at": "2024-08-24T05:55:29.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

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