mradermacher/aquif-3-mini-gguf overview

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    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
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    "quantized_by": "mradermacher",
    "tags": [
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    "frontmatter": {
      "base_model": "aquif-ai/aquif-3-mini",
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      "library_name": "transformers",
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      "tags": [
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    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         static quants of https://huggingface.co/aquif-ai/aquif-3-mini  ***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-mini-i1-GGUF",
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    "readme_markdown": "---\nbase_model: aquif-ai/aquif-3-mini\nlanguage:\n- pt\n- en\n- ja\n- zh\n- th\n- es\n- hi\n- fr\n- de\n- it\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- math\n- coding\n- small\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-mini\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-mini-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/aquif-3-mini-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-mini-GGUF/resolve/main/aquif-3-mini.Q2_K.gguf) | Q2_K | 1.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/aquif-3-mini-GGUF/resolve/main/aquif-3-mini.Q3_K_S.gguf) | Q3_K_S | 1.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/aquif-3-mini-GGUF/resolve/main/aquif-3-mini.Q3_K_M.gguf) | Q3_K_M | 1.8 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/aquif-3-mini-GGUF/resolve/main/aquif-3-mini.Q3_K_L.gguf) | Q3_K_L | 1.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/aquif-3-mini-GGUF/resolve/main/aquif-3-mini.IQ4_XS.gguf) | IQ4_XS | 1.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/aquif-3-mini-GGUF/resolve/main/aquif-3-mini.Q4_K_S.gguf) | Q4_K_S | 2.0 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/aquif-3-mini-GGUF/resolve/main/aquif-3-mini.Q4_K_M.gguf) | Q4_K_M | 2.1 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/aquif-3-mini-GGUF/resolve/main/aquif-3-mini.Q5_K_S.gguf) | Q5_K_S | 2.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/aquif-3-mini-GGUF/resolve/main/aquif-3-mini.Q5_K_M.gguf) | Q5_K_M | 2.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/aquif-3-mini-GGUF/resolve/main/aquif-3-mini.Q6_K.gguf) | Q6_K | 2.7 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/aquif-3-mini-GGUF/resolve/main/aquif-3-mini.Q8_0.gguf) | Q8_0 | 3.5 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/aquif-3-mini-GGUF/resolve/main/aquif-3-mini.f16.gguf) | f16 | 6.5 | 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",
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  "tags": [
    "transformers",
    "gguf",
    "language",
    "aquif",
    "text-generation-inference",
    "math",
    "coding",
    "small",
    "pt",
    "en",
    "ja",
    "zh",
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    "hi",
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    "it",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
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  "last_modified": "2025-09-07T15:46:09.000Z",
  "created_at": "2025-08-05T22:31:50.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
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