mradermacher/qwen3-coder-30b-a3b-instruct-480b-distill-v2-fp32-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "BasedBase/Qwen3-Coder-30B-A3B-Instruct-480B-Distill-V2-Fp32",
    "language": [
      "en",
      "code"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "causal-lm",
      "moe",
      "mixture-of-experts",
      "qwen",
      "distillation",
      "svd",
      "lora-merged",
      "code-generation"
    ],
    "frontmatter": {
      "base_model": "BasedBase/Qwen3-Coder-30B-A3B-Instruct-480B-Distill-V2-Fp32",
      "language": [
        "en",
        "code"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "causal-lm",
        "moe",
        "mixture-of-experts",
        "qwen",
        "distillation",
        "svd",
        "lora-merged",
        "code-generation"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         static quants of https://huggingface.co/BasedBase/Qwen3-Coder-30B-A3B-Instruct-480B-Distill-V2-Fp32  ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3-Coder-30B-A3B-Instruct-480B-Distill-V2-Fp32-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: BasedBase/Qwen3-Coder-30B-A3B-Instruct-480B-Distill-V2-Fp32\nlanguage:\n- en\n- code\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- causal-lm\n- moe\n- mixture-of-experts\n- qwen\n- distillation\n- svd\n- lora-merged\n- code-generation\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/BasedBase/Qwen3-Coder-30B-A3B-Instruct-480B-Distill-V2-Fp32\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#Qwen3-Coder-30B-A3B-Instruct-480B-Distill-V2-Fp32-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3-Coder-30B-A3B-Instruct-480B-Distill-V2-Fp32-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/Qwen3-Coder-30B-A3B-Instruct-480B-Distill-V2-Fp32-GGUF/resolve/main/Qwen3-Coder-30B-A3B-Instruct-480B-Distill-V2-Fp32.Q2_K.gguf) | Q2_K | 11.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-30B-A3B-Instruct-480B-Distill-V2-Fp32-GGUF/resolve/main/Qwen3-Coder-30B-A3B-Instruct-480B-Distill-V2-Fp32.Q3_K_S.gguf) | Q3_K_S | 13.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-30B-A3B-Instruct-480B-Distill-V2-Fp32-GGUF/resolve/main/Qwen3-Coder-30B-A3B-Instruct-480B-Distill-V2-Fp32.Q3_K_M.gguf) | Q3_K_M | 14.8 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-30B-A3B-Instruct-480B-Distill-V2-Fp32-GGUF/resolve/main/Qwen3-Coder-30B-A3B-Instruct-480B-Distill-V2-Fp32.Q3_K_L.gguf) | Q3_K_L | 16.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-30B-A3B-Instruct-480B-Distill-V2-Fp32-GGUF/resolve/main/Qwen3-Coder-30B-A3B-Instruct-480B-Distill-V2-Fp32.IQ4_XS.gguf) | IQ4_XS | 16.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-30B-A3B-Instruct-480B-Distill-V2-Fp32-GGUF/resolve/main/Qwen3-Coder-30B-A3B-Instruct-480B-Distill-V2-Fp32.Q4_K_S.gguf) | Q4_K_S | 17.6 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-30B-A3B-Instruct-480B-Distill-V2-Fp32-GGUF/resolve/main/Qwen3-Coder-30B-A3B-Instruct-480B-Distill-V2-Fp32.Q4_K_M.gguf) | Q4_K_M | 18.7 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-30B-A3B-Instruct-480B-Distill-V2-Fp32-GGUF/resolve/main/Qwen3-Coder-30B-A3B-Instruct-480B-Distill-V2-Fp32.Q5_K_S.gguf) | Q5_K_S | 21.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-30B-A3B-Instruct-480B-Distill-V2-Fp32-GGUF/resolve/main/Qwen3-Coder-30B-A3B-Instruct-480B-Distill-V2-Fp32.Q5_K_M.gguf) | Q5_K_M | 21.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-30B-A3B-Instruct-480B-Distill-V2-Fp32-GGUF/resolve/main/Qwen3-Coder-30B-A3B-Instruct-480B-Distill-V2-Fp32.Q6_K.gguf) | Q6_K | 25.2 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-30B-A3B-Instruct-480B-Distill-V2-Fp32-GGUF/resolve/main/Qwen3-Coder-30B-A3B-Instruct-480B-Distill-V2-Fp32.Q8_0.gguf) | Q8_0 | 32.6 | 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",
    "causal-lm",
    "moe",
    "mixture-of-experts",
    "qwen",
    "distillation",
    "svd",
    "lora-merged",
    "code-generation",
    "en",
    "code",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 3,
  "downloads": 126,
  "gated": false,
  "private": false,
  "last_modified": "2025-09-12T09:03:39.000Z",
  "created_at": "2025-09-11T18:56:38.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

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  "createdAt": "2025-09-11T18:56:38.000Z",
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