Model Intelligence Sheet

mradermacher/qwen3-42b-a3b-2507-yoyo2-total-recall-instruct-i1-gguf overview

About weighted/imatrix quants of https://huggingface.co/DavidAU/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct For a convenient overview and download list, visit our model page for this model. static quants are available at https://huggingface.co/mradermacher/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct-GGUF

transformersggufprogrammingcode generationcodecodeqwenmoecodingcoderqwen2chatqwenqwen-coderQwen3-Coder-30B-A3B-InstructQwen3-30B-A3Bmixture of experts128 experts8 active experts1 million contextqwen3finetunebrainstorm 20xbrainstormoptional thinkingqwen3_moeenfrzhdebase_model:DavidAU/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct

mradermacher/qwen3-42b-a3b-2507-yoyo2-total-recall-instruct-i1-gguf visual

Downloads

Likes

Pipeline

—

Library

transformers

Visibility

Public

Access

Open

Repository Files & Downloads

24 files detected

Direct downloads for all repository files

File	Type	Quantization	Size	Link
Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-IQ1_M.gguf	GGUF	IQ1_M	9.07 GB	Download
Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-IQ1_S.gguf	GGUF	IQ1_S	8.21 GB	Download
Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-IQ2_M.gguf	GGUF	IQ2_M	13.08 GB	Download
Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-IQ2_S.gguf	GGUF	IQ2_S	11.93 GB	Download
Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-IQ2_XS.gguf	GGUF	IQ2_XS	11.68 GB	Download
Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-IQ2_XXS.gguf	GGUF	IQ2_XXS	10.51 GB	Download
Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-IQ3_M.gguf	GGUF	IQ3_M	17.41 GB	Download
Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-IQ3_S.gguf	GGUF	IQ3_S	17.14 GB	Download
Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-IQ3_XS.gguf	GGUF	IQ3_XS	16.24 GB	Download
Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-IQ3_XXS.gguf	GGUF	IQ3_XXS	15.27 GB	Download
Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-IQ4_XS.gguf	GGUF	IQ4_XS	21.12 GB	Download
Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-Q2_K.gguf	GGUF	Q2_K	14.50 GB	Download
Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-Q2_K_S.gguf	GGUF	Q2_K_S	13.52 GB	Download
Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-Q3_K_L.gguf	GGUF	Q3_K_L	20.52 GB	Download
Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-Q3_K_M.gguf	GGUF	Q3_K_M	18.97 GB	Download
Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-Q3_K_S.gguf	GGUF	Q3_K_S	17.13 GB	Download
Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-Q4_0.gguf	GGUF	—	22.43 GB	Download
Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-Q4_1.gguf	GGUF	—	24.78 GB	Download
Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-Q4_K_M.gguf	GGUF	Q4_K_M	23.94 GB	Download
Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-Q4_K_S.gguf	GGUF	Q4_K_S	22.52 GB	Download
Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-Q5_K_M.gguf	GGUF	Q5_K_M	28.05 GB	Download
Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-Q5_K_S.gguf	GGUF	Q5_K_S	27.23 GB	Download
Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-Q6_K.gguf	GGUF	Q6_K	32.43 GB	Download
Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.imatrix.gguf	GGUF	—	162.44 MB	Download

Model Details Live

Model Slug

mradermacher/qwen3-42b-a3b-2507-yoyo2-total-recall-instruct-i1-gguf

Author

mradermacher

Pipeline Task

—

Library

transformers

Created

2025-08-31

Last Modified

2025-12-23

Gated

Private

HF SHA

bae280d7cc7b968612f1fadc32de7b038093dfdc

License

apache-2.0

Language

en, fr, zh, de

Base Model

DavidAU/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct

Metadata Inspector

Normalized metadata (stored in metadata_json)

{
  "metadata": {},
  "card_data": {
    "base_model": "DavidAU/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct",
    "language": [
      "en",
      "fr",
      "zh",
      "de"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "programming",
      "code generation",
      "code",
      "codeqwen",
      "programming",
      "code generation",
      "code",
      "codeqwen",
      "moe",
      "coding",
      "coder",
      "qwen2",
      "chat",
      "qwen",
      "qwen-coder",
      "chat",
      "qwen",
      "qwen-coder",
      "moe",
      "Qwen3-Coder-30B-A3B-Instruct",
      "Qwen3-30B-A3B",
      "mixture of experts",
      "128 experts",
      "8 active experts",
      "1 million context",
      "qwen3",
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      "brainstorm 20x",
      "brainstorm",
      "optional thinking",
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    ],
    "frontmatter": {
      "base_model": "DavidAU/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct",
      "language": [
        "en",
        "fr",
        "zh",
        "de"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "programming",
        "code generation",
        "code",
        "codeqwen",
        "programming",
        "code generation",
        "code",
        "codeqwen",
        "moe",
        "coding",
        "coder",
        "qwen2",
        "chat",
        "qwen",
        "qwen-coder",
        "chat",
        "qwen",
        "qwen-coder",
        "moe",
        "Qwen3-Coder-30B-A3B-Instruct",
        "Qwen3-30B-A3B",
        "mixture of experts",
        "128 experts",
        "8 active experts",
        "1 million context",
        "qwen3",
        "finetune",
        "brainstorm 20x",
        "brainstorm",
        "optional thinking",
        "qwen3_moe"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         weighted/imatrix quants of https://huggingface.co/DavidAU/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct  ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: DavidAU/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct\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- 1 million 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: nicoboss -->\n<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S -->\n<!-- ### quants_skip:  -->\n<!-- ### skip_mmproj:  -->\nweighted/imatrix quants of https://huggingface.co/DavidAU/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct\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#Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct-i1-GGUF).***\n\nstatic quants are available at https://huggingface.co/mradermacher/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct-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/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct-i1-GGUF/resolve/main/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.imatrix.gguf) | imatrix | 0.3 | imatrix file (for creating your own quants) |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct-i1-GGUF/resolve/main/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-IQ1_S.gguf) | i1-IQ1_S | 8.9 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct-i1-GGUF/resolve/main/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-IQ1_M.gguf) | i1-IQ1_M | 9.8 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct-i1-GGUF/resolve/main/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 11.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct-i1-GGUF/resolve/main/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-IQ2_XS.gguf) | i1-IQ2_XS | 12.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct-i1-GGUF/resolve/main/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-IQ2_S.gguf) | i1-IQ2_S | 12.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct-i1-GGUF/resolve/main/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-IQ2_M.gguf) | i1-IQ2_M | 14.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct-i1-GGUF/resolve/main/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-Q2_K_S.gguf) | i1-Q2_K_S | 14.6 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct-i1-GGUF/resolve/main/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-Q2_K.gguf) | i1-Q2_K | 15.7 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct-i1-GGUF/resolve/main/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 16.5 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct-i1-GGUF/resolve/main/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-IQ3_XS.gguf) | i1-IQ3_XS | 17.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct-i1-GGUF/resolve/main/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-Q3_K_S.gguf) | i1-Q3_K_S | 18.5 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct-i1-GGUF/resolve/main/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-IQ3_S.gguf) | i1-IQ3_S | 18.5 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct-i1-GGUF/resolve/main/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-IQ3_M.gguf) | i1-IQ3_M | 18.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct-i1-GGUF/resolve/main/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-Q3_K_M.gguf) | i1-Q3_K_M | 20.5 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct-i1-GGUF/resolve/main/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-Q3_K_L.gguf) | i1-Q3_K_L | 22.1 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct-i1-GGUF/resolve/main/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-IQ4_XS.gguf) | i1-IQ4_XS | 22.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct-i1-GGUF/resolve/main/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-Q4_0.gguf) | i1-Q4_0 | 24.2 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct-i1-GGUF/resolve/main/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-Q4_K_S.gguf) | i1-Q4_K_S | 24.3 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct-i1-GGUF/resolve/main/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-Q4_K_M.gguf) | i1-Q4_K_M | 25.8 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct-i1-GGUF/resolve/main/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-Q4_1.gguf) | i1-Q4_1 | 26.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct-i1-GGUF/resolve/main/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-Q5_K_S.gguf) | i1-Q5_K_S | 29.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct-i1-GGUF/resolve/main/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-Q5_K_M.gguf) | i1-Q5_K_M | 30.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct-i1-GGUF/resolve/main/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.i1-Q6_K.gguf) | i1-Q6_K | 34.9 | practically like static Q6_K |\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. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.\n\n<!-- end -->\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "programming",
    "code generation",
    "code",
    "codeqwen",
    "moe",
    "coding",
    "coder",
    "qwen2",
    "chat",
    "qwen",
    "qwen-coder",
    "Qwen3-Coder-30B-A3B-Instruct",
    "Qwen3-30B-A3B",
    "mixture of experts",
    "128 experts",
    "8 active experts",
    "1 million context",
    "qwen3",
    "finetune",
    "brainstorm 20x",
    "brainstorm",
    "optional thinking",
    "qwen3_moe",
    "en",
    "fr",
    "zh",
    "de",
    "base_model:DavidAU/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct",
    "base_model:quantized:DavidAU/Qwen3-42B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ],
  "likes": 0,
  "downloads": 89,
  "gated": false,
  "private": false,
  "last_modified": "2025-12-23T04:21:33.000Z",
  "created_at": "2025-08-31T04:33:12.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

Source payload excerpt (from Hugging Face API)

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