mradermacher/llama-4-scout-17b-6e-instruct-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "shadowlilac/Llama-4-Scout-17B-6E-Instruct",
    "language": [
      "ar",
      "de",
      "en",
      "es",
      "fr",
      "hi",
      "id",
      "it",
      "pt",
      "th",
      "tl",
      "vi"
    ],
    "library_name": "transformers",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "pytorch",
      "llama",
      "llama-4",
      "mixture of experts"
    ],
    "frontmatter": {
      "base_model": "shadowlilac/Llama-4-Scout-17B-6E-Instruct",
      "language": [
        "ar",
        "de",
        "en",
        "es",
        "fr",
        "hi",
        "id",
        "it",
        "pt",
        "th",
        "tl",
        "vi"
      ],
      "library_name": "transformers",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "pytorch",
        "llama",
        "llama-4",
        "mixture of experts"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      static quants of https://huggingface.co/shadowlilac/Llama-4-Scout-17B-6E-Instruct  ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Llama-4-Scout-17B-6E-Instruct-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: shadowlilac/Llama-4-Scout-17B-6E-Instruct\nlanguage:\n- ar\n- de\n- en\n- es\n- fr\n- hi\n- id\n- it\n- pt\n- th\n- tl\n- vi\nlibrary_name: transformers\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- pytorch\n- llama\n- llama-4\n- mixture of experts\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/shadowlilac/Llama-4-Scout-17B-6E-Instruct\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#Llama-4-Scout-17B-6E-Instruct-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Llama-4-Scout-17B-6E-Instruct-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/Llama-4-Scout-17B-6E-Instruct-GGUF/resolve/main/Llama-4-Scout-17B-6E-Instruct.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 1.0 | multi-modal supplement |\n| [GGUF](https://huggingface.co/mradermacher/Llama-4-Scout-17B-6E-Instruct-GGUF/resolve/main/Llama-4-Scout-17B-6E-Instruct.mmproj-f16.gguf) | mmproj-f16 | 1.8 | multi-modal supplement |\n| [GGUF](https://huggingface.co/mradermacher/Llama-4-Scout-17B-6E-Instruct-GGUF/resolve/main/Llama-4-Scout-17B-6E-Instruct.Q2_K.gguf) | Q2_K | 17.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama-4-Scout-17B-6E-Instruct-GGUF/resolve/main/Llama-4-Scout-17B-6E-Instruct.Q3_K_S.gguf) | Q3_K_S | 20.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama-4-Scout-17B-6E-Instruct-GGUF/resolve/main/Llama-4-Scout-17B-6E-Instruct.Q3_K_M.gguf) | Q3_K_M | 23.1 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Llama-4-Scout-17B-6E-Instruct-GGUF/resolve/main/Llama-4-Scout-17B-6E-Instruct.Q3_K_L.gguf) | Q3_K_L | 24.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama-4-Scout-17B-6E-Instruct-GGUF/resolve/main/Llama-4-Scout-17B-6E-Instruct.IQ4_XS.gguf) | IQ4_XS | 25.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama-4-Scout-17B-6E-Instruct-GGUF/resolve/main/Llama-4-Scout-17B-6E-Instruct.Q4_K_S.gguf) | Q4_K_S | 27.3 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Llama-4-Scout-17B-6E-Instruct-GGUF/resolve/main/Llama-4-Scout-17B-6E-Instruct.Q4_K_M.gguf) | Q4_K_M | 28.9 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Llama-4-Scout-17B-6E-Instruct-GGUF/resolve/main/Llama-4-Scout-17B-6E-Instruct.Q5_K_S.gguf) | Q5_K_S | 32.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama-4-Scout-17B-6E-Instruct-GGUF/resolve/main/Llama-4-Scout-17B-6E-Instruct.Q5_K_M.gguf) | Q5_K_M | 33.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama-4-Scout-17B-6E-Instruct-GGUF/resolve/main/Llama-4-Scout-17B-6E-Instruct.Q6_K.gguf) | Q6_K | 39.0 | very good quality |\n| [PART 1](https://huggingface.co/mradermacher/Llama-4-Scout-17B-6E-Instruct-GGUF/resolve/main/Llama-4-Scout-17B-6E-Instruct.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Llama-4-Scout-17B-6E-Instruct-GGUF/resolve/main/Llama-4-Scout-17B-6E-Instruct.Q8_0.gguf.part2of2) | Q8_0 | 50.4 | 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",
    "pytorch",
    "llama",
    "llama-4",
    "mixture of experts",
    "ar",
    "de",
    "en",
    "es",
    "fr",
    "hi",
    "id",
    "it",
    "pt",
    "th",
    "tl",
    "vi",
    "base_model:shadowlilac/Llama-4-Scout-17B-6E-Instruct",
    "base_model:quantized:shadowlilac/Llama-4-Scout-17B-6E-Instruct",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 2,
  "downloads": 205,
  "gated": false,
  "private": false,
  "last_modified": "2025-07-31T04:38:45.000Z",
  "created_at": "2025-05-20T16:06:57.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

{
  "_id": "682ca8a131b445761ef855fd",
  "id": "mradermacher/Llama-4-Scout-17B-6E-Instruct-GGUF",
  "modelId": "mradermacher/Llama-4-Scout-17B-6E-Instruct-GGUF",
  "sha": "6c9c92237ae7f954aea8778c39aad48efec90a4b",
  "createdAt": "2025-05-20T16:06:57.000Z",
  "lastModified": "2025-07-31T04:38:45.000Z",
  "author": "mradermacher",
  "downloads": 205,
  "likes": 2,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "transformers",
  "siblings_count": 16
}