mradermacher/aquif-3.5-max-42b-a3b-gguf overview

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    "base_model": "aquif-ai/aquif-3.5-Max-42B-A3B",
    "language": [
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    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "language",
      "aquif",
      "text-generation-inference",
      "reasoning",
      "math",
      "coding",
      "frontier",
      "aquif-3.5",
      "moe"
    ],
    "frontmatter": {
      "base_model": "aquif-ai/aquif-3.5-Max-42B-A3B",
      "language": [
        "en",
        "de",
        "it",
        "pt",
        "fr",
        "hi",
        "es",
        "th",
        "zh",
        "ja"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "language",
        "aquif",
        "text-generation-inference",
        "reasoning",
        "math",
        "coding",
        "frontier",
        "aquif-3.5",
        "moe"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         static quants of https://huggingface.co/aquif-ai/aquif-3.5-Max-42B-A3B  ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/aquif-3.5-Max-42B-A3B-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: aquif-ai/aquif-3.5-Max-42B-A3B\nlanguage:\n- en\n- de\n- it\n- pt\n- fr\n- hi\n- es\n- th\n- zh\n- ja\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- language\n- aquif\n- text-generation-inference\n- reasoning\n- math\n- coding\n- frontier\n- aquif-3.5\n- moe\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags:  -->\n<!-- ### quants:  x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->\n<!-- ### quants_skip:  -->\n<!-- ### skip_mmproj:  -->\nstatic quants of https://huggingface.co/aquif-ai/aquif-3.5-Max-42B-A3B\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#aquif-3.5-Max-42B-A3B-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/aquif-3.5-Max-42B-A3B-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/aquif-3.5-Max-42B-A3B-GGUF/resolve/main/aquif-3.5-Max-42B-A3B.Q2_K.gguf) | Q2_K | 15.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/aquif-3.5-Max-42B-A3B-GGUF/resolve/main/aquif-3.5-Max-42B-A3B.Q3_K_S.gguf) | Q3_K_S | 18.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/aquif-3.5-Max-42B-A3B-GGUF/resolve/main/aquif-3.5-Max-42B-A3B.Q3_K_M.gguf) | Q3_K_M | 20.5 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/aquif-3.5-Max-42B-A3B-GGUF/resolve/main/aquif-3.5-Max-42B-A3B.Q3_K_L.gguf) | Q3_K_L | 22.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/aquif-3.5-Max-42B-A3B-GGUF/resolve/main/aquif-3.5-Max-42B-A3B.IQ4_XS.gguf) | IQ4_XS | 23.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/aquif-3.5-Max-42B-A3B-GGUF/resolve/main/aquif-3.5-Max-42B-A3B.Q4_K_S.gguf) | Q4_K_S | 24.3 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/aquif-3.5-Max-42B-A3B-GGUF/resolve/main/aquif-3.5-Max-42B-A3B.Q4_K_M.gguf) | Q4_K_M | 25.8 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/aquif-3.5-Max-42B-A3B-GGUF/resolve/main/aquif-3.5-Max-42B-A3B.Q5_K_S.gguf) | Q5_K_S | 29.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/aquif-3.5-Max-42B-A3B-GGUF/resolve/main/aquif-3.5-Max-42B-A3B.Q5_K_M.gguf) | Q5_K_M | 30.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/aquif-3.5-Max-42B-A3B-GGUF/resolve/main/aquif-3.5-Max-42B-A3B.Q6_K.gguf) | Q6_K | 34.9 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/aquif-3.5-Max-42B-A3B-GGUF/resolve/main/aquif-3.5-Max-42B-A3B.Q8_0.gguf) | Q8_0 | 45.2 | 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": [
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    "gguf",
    "language",
    "aquif",
    "text-generation-inference",
    "reasoning",
    "math",
    "coding",
    "frontier",
    "aquif-3.5",
    "moe",
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    "it",
    "pt",
    "fr",
    "hi",
    "es",
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    "endpoints_compatible",
    "region:us",
    "conversational"
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  "private": false,
  "last_modified": "2025-11-05T09:48:01.000Z",
  "created_at": "2025-11-05T05:12:33.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

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