mradermacher/mythospice-70b-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "DS-Archive/mythospice-70b",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "mradermacher": {
      "readme_rev": 1
    },
    "pipeline_tag": "text-generation",
    "quantized_by": "mradermacher",
    "tags": [
      "llama",
      "llama-2",
      "not-for-all-audiences"
    ],
    "frontmatter": {
      "base_model": "DS-Archive/mythospice-70b",
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "mradermacher": [],
      "pipeline_tag": "text-generation",
      "quantized_by": "mradermacher",
      "tags": [
        "llama",
        "llama-2",
        "not-for-all-audiences"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About static quants of https://huggingface.co/DS-Archive/mythospice-70b  ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/mythospice-70b-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: DS-Archive/mythospice-70b\nlanguage:\n- en\nlibrary_name: transformers\nmradermacher:\n  readme_rev: 1\npipeline_tag: text-generation\nquantized_by: mradermacher\ntags:\n- llama\n- llama-2\n- not-for-all-audiences\n---\n## About\n\nstatic quants of https://huggingface.co/DS-Archive/mythospice-70b\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#mythospice-70b-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/mythospice-70b-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/mythospice-70b-GGUF/resolve/main/mythospice-70b.Q2_K.gguf) | Q2_K | 25.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/mythospice-70b-GGUF/resolve/main/mythospice-70b.Q3_K_XS.gguf) | Q3_K_XS | 28.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/mythospice-70b-GGUF/resolve/main/mythospice-70b.IQ3_XS.gguf) | IQ3_XS | 28.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/mythospice-70b-GGUF/resolve/main/mythospice-70b.Q3_K_S.gguf) | Q3_K_S | 30.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/mythospice-70b-GGUF/resolve/main/mythospice-70b.IQ3_S.gguf) | IQ3_S | 30.0 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/mythospice-70b-GGUF/resolve/main/mythospice-70b.IQ3_M.gguf) | IQ3_M | 31.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/mythospice-70b-GGUF/resolve/main/mythospice-70b.Q3_K_M.gguf) | Q3_K_M | 33.4 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/mythospice-70b-GGUF/resolve/main/mythospice-70b.Q3_K_L.gguf) | Q3_K_L | 36.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/mythospice-70b-GGUF/resolve/main/mythospice-70b.IQ4_XS.gguf) | IQ4_XS | 37.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/mythospice-70b-GGUF/resolve/main/mythospice-70b.Q4_K_S.gguf) | Q4_K_S | 39.3 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/mythospice-70b-GGUF/resolve/main/mythospice-70b.Q4_K_M.gguf) | Q4_K_M | 41.5 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/mythospice-70b-GGUF/resolve/main/mythospice-70b.Q5_K_S.gguf) | Q5_K_S | 47.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/mythospice-70b-GGUF/resolve/main/mythospice-70b.Q5_K_M.gguf) | Q5_K_M | 48.9 |  |\n| [PART 1](https://huggingface.co/mradermacher/mythospice-70b-GGUF/resolve/main/mythospice-70b.Q6_K.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/mythospice-70b-GGUF/resolve/main/mythospice-70b.Q6_K.gguf.split-ab) | Q6_K | 56.7 | very good quality |\n| [PART 1](https://huggingface.co/mradermacher/mythospice-70b-GGUF/resolve/main/mythospice-70b.Q8_0.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/mythospice-70b-GGUF/resolve/main/mythospice-70b.Q8_0.gguf.split-ab) | Q8_0 | 73.4 | 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",
    "llama",
    "llama-2",
    "not-for-all-audiences",
    "text-generation",
    "en",
    "base_model:DS-Archive/mythospice-70b",
    "base_model:quantized:DS-Archive/mythospice-70b",
    "endpoints_compatible",
    "region:us"
  ],
  "likes": 3,
  "downloads": 103,
  "gated": false,
  "private": false,
  "last_modified": "2026-02-26T21:14:43.000Z",
  "created_at": "2024-02-06T12:55:49.000Z",
  "pipeline_tag": "text-generation",
  "library_name": "transformers"
}

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  "id": "mradermacher/mythospice-70b-GGUF",
  "modelId": "mradermacher/mythospice-70b-GGUF",
  "sha": "7baeec695b6179874b3047acc3cd06771eee77c7",
  "createdAt": "2024-02-06T12:55:49.000Z",
  "lastModified": "2026-02-26T21:14:43.000Z",
  "author": "mradermacher",
  "downloads": 103,
  "likes": 3,
  "gated": false,
  "private": false,
  "pipeline_tag": "text-generation",
  "library_name": "transformers",
  "siblings_count": 19
}