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Model Intelligence Sheet

mradermacher/qwen3-coder-42b-a3b-instruct-total-recall-master-coder-m-gguf overview

About static quants of https://huggingface.co/DavidAU/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M 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-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-i1-GGUF

transformersggufprogrammingcode generationcodecodeqwenmoecodingcoderqwen2chatqwenqwen-coderQwen3-Coder-30B-A3B-InstructQwen3-30B-A3Bmixture of experts128 experts8 active experts256k contextqwen3finetunebrainstorm 20xbrainstormoptional thinkingqwen3_moeenfrzhdebase_model:DavidAU/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M
mradermacher/qwen3-coder-42b-a3b-instruct-total-recall-master-coder-m-gguf visual
Downloads
99
Likes
1
Pipeline
—
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

11 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M.IQ4_XS.gguf GGUF IQ4_XS 21.36 GB Download
Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M.Q2_K.gguf GGUF Q2_K 14.50 GB Download
Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M.Q3_K_L.gguf GGUF Q3_K_L 20.52 GB Download
Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M.Q3_K_M.gguf GGUF Q3_K_M 18.97 GB Download
Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M.Q3_K_S.gguf GGUF Q3_K_S 17.13 GB Download
Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M.Q4_K_M.gguf GGUF Q4_K_M 23.94 GB Download
Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M.Q4_K_S.gguf GGUF Q4_K_S 22.52 GB Download
Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M.Q5_K_M.gguf GGUF Q5_K_M 28.05 GB Download
Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M.Q5_K_S.gguf GGUF Q5_K_S 27.23 GB Download
Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M.Q6_K.gguf GGUF Q6_K 32.43 GB Download
Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M.Q8_0.gguf GGUF — 41.98 GB Download

Model Details Live

Model Slug
mradermacher/qwen3-coder-42b-a3b-instruct-total-recall-master-coder-m-gguf
Author
mradermacher
Pipeline Task
—
Library
transformers
Created
2025-08-01
Last Modified
2025-08-03
Gated
No
Private
No
HF SHA
1b166b10ecf96d3a56469f9985881832e3fc29b5
License
apache-2.0
Language
en, fr, zh, de
Base Model
DavidAU/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M

Metadata Inspector

Normalized metadata (stored in metadata_json) 
{
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  "card_data": {
    "base_model": "DavidAU/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M",
    "language": [
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      "fr",
      "zh",
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    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "programming",
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      "base_model": "DavidAU/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M",
      "language": [
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        "fr",
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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/DavidAU/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M  ***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-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: DavidAU/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M\nlanguage:\n- en\n- fr\n- zh\n- de\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- programming\n- code generation\n- code\n- codeqwen\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- chat\n- qwen\n- qwen-coder\n- moe\n- Qwen3-Coder-30B-A3B-Instruct\n- Qwen3-30B-A3B\n- mixture of experts\n- 128 experts\n- 8 active experts\n- 256k context\n- qwen3\n- finetune\n- brainstorm 20x\n- brainstorm\n- optional thinking\n- qwen3_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/DavidAU/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M\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-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-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-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-GGUF/resolve/main/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M.Q2_K.gguf) | Q2_K | 15.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-GGUF/resolve/main/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M.Q3_K_S.gguf) | Q3_K_S | 18.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-GGUF/resolve/main/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M.Q3_K_M.gguf) | Q3_K_M | 20.5 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-GGUF/resolve/main/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M.Q3_K_L.gguf) | Q3_K_L | 22.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-GGUF/resolve/main/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M.IQ4_XS.gguf) | IQ4_XS | 23.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-GGUF/resolve/main/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M.Q4_K_S.gguf) | Q4_K_S | 24.3 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-GGUF/resolve/main/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M.Q4_K_M.gguf) | Q4_K_M | 25.8 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-GGUF/resolve/main/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M.Q5_K_S.gguf) | Q5_K_S | 29.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-GGUF/resolve/main/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M.Q5_K_M.gguf) | Q5_K_M | 30.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-GGUF/resolve/main/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M.Q6_K.gguf) | Q6_K | 34.9 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-GGUF/resolve/main/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M.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",
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    "Qwen3-Coder-30B-A3B-Instruct",
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    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 1,
  "downloads": 99,
  "gated": false,
  "private": false,
  "last_modified": "2025-08-03T04:02:59.000Z",
  "created_at": "2025-08-01T20:04:30.000Z",
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}
Source payload excerpt (from Hugging Face API) 
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