mradermacher/qwen2.5-6x7b-six-pack-coder-instruct-42b-gguf overview

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  "card_data": {
    "base_model": "DavidAU/Qwen2.5-6x7B-Six-Pack-Coder-Instruct-42B",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "merge",
      "programming",
      "code generation",
      "code",
      "codeqwen",
      "moe",
      "coding",
      "coder",
      "qwen2",
      "chat",
      "qwen",
      "qwen-coder",
      "mixture of experts",
      "qwen2moe",
      "6X7B",
      "shared expert"
    ],
    "frontmatter": {
      "base_model": "DavidAU/Qwen2.5-6x7B-Six-Pack-Coder-Instruct-42B",
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "merge",
        "programming",
        "code generation",
        "code",
        "codeqwen",
        "moe",
        "coding",
        "coder",
        "qwen2",
        "chat",
        "qwen",
        "qwen-coder",
        "mixture of experts",
        "qwen2moe",
        "6X7B",
        "shared expert"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      static quants of https://huggingface.co/DavidAU/Qwen2.5-6x7B-Six-Pack-Coder-Instruct-42B  ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen2.5-6x7B-Six-Pack-Coder-Instruct-42B-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: DavidAU/Qwen2.5-6x7B-Six-Pack-Coder-Instruct-42B\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- merge\n- programming\n- code generation\n- code\n- codeqwen\n- moe\n- coding\n- coder\n- qwen2\n- chat\n- qwen\n- qwen-coder\n- mixture of experts\n- qwen2moe\n- 6X7B\n- shared expert\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/DavidAU/Qwen2.5-6x7B-Six-Pack-Coder-Instruct-42B\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#Qwen2.5-6x7B-Six-Pack-Coder-Instruct-42B-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen2.5-6x7B-Six-Pack-Coder-Instruct-42B-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/Qwen2.5-6x7B-Six-Pack-Coder-Instruct-42B-GGUF/resolve/main/Qwen2.5-6x7B-Six-Pack-Coder-Instruct-42B.Q2_K.gguf) | Q2_K | 15.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-6x7B-Six-Pack-Coder-Instruct-42B-GGUF/resolve/main/Qwen2.5-6x7B-Six-Pack-Coder-Instruct-42B.Q3_K_S.gguf) | Q3_K_S | 18.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-6x7B-Six-Pack-Coder-Instruct-42B-GGUF/resolve/main/Qwen2.5-6x7B-Six-Pack-Coder-Instruct-42B.Q3_K_M.gguf) | Q3_K_M | 20.2 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-6x7B-Six-Pack-Coder-Instruct-42B-GGUF/resolve/main/Qwen2.5-6x7B-Six-Pack-Coder-Instruct-42B.Q3_K_L.gguf) | Q3_K_L | 21.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-6x7B-Six-Pack-Coder-Instruct-42B-GGUF/resolve/main/Qwen2.5-6x7B-Six-Pack-Coder-Instruct-42B.IQ4_XS.gguf) | IQ4_XS | 22.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-6x7B-Six-Pack-Coder-Instruct-42B-GGUF/resolve/main/Qwen2.5-6x7B-Six-Pack-Coder-Instruct-42B.Q4_K_S.gguf) | Q4_K_S | 24.0 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-6x7B-Six-Pack-Coder-Instruct-42B-GGUF/resolve/main/Qwen2.5-6x7B-Six-Pack-Coder-Instruct-42B.Q4_K_M.gguf) | Q4_K_M | 25.5 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-6x7B-Six-Pack-Coder-Instruct-42B-GGUF/resolve/main/Qwen2.5-6x7B-Six-Pack-Coder-Instruct-42B.Q5_K_S.gguf) | Q5_K_S | 28.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-6x7B-Six-Pack-Coder-Instruct-42B-GGUF/resolve/main/Qwen2.5-6x7B-Six-Pack-Coder-Instruct-42B.Q5_K_M.gguf) | Q5_K_M | 29.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-6x7B-Six-Pack-Coder-Instruct-42B-GGUF/resolve/main/Qwen2.5-6x7B-Six-Pack-Coder-Instruct-42B.Q6_K.gguf) | Q6_K | 34.4 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-6x7B-Six-Pack-Coder-Instruct-42B-GGUF/resolve/main/Qwen2.5-6x7B-Six-Pack-Coder-Instruct-42B.Q8_0.gguf) | Q8_0 | 44.6 | 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",
    "merge",
    "programming",
    "code generation",
    "code",
    "codeqwen",
    "moe",
    "coding",
    "coder",
    "qwen2",
    "chat",
    "qwen",
    "qwen-coder",
    "mixture of experts",
    "qwen2moe",
    "6X7B",
    "shared expert",
    "en",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 87,
  "gated": false,
  "private": false,
  "last_modified": "2025-07-31T02:34:26.000Z",
  "created_at": "2025-07-17T05:57:16.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

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