Transformers
GGUF
programming
code generation
code
codeqwen
Mixture of Experts
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
unsloth
imatrix
conversational
auto-patch README.md
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README.md
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@@ -77,7 +77,11 @@ more details, including on how to concatenate multi-part files.
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-IV-i1-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-IV.imatrix.gguf) | imatrix | 0.3 | imatrix file (for creating your own qwuants) |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-IV-i1-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-IV.i1-Q2_K.gguf) | i1-Q2_K | 15.7 | IQ3_XXS probably better |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-IV-i1-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-IV.i1-IQ3_M.gguf) | i1-IQ3_M | 18.8 | |
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Here is a handy graph by ikawrakow comparing some lower-quality quant
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types (lower is better):
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-IV-i1-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-IV.imatrix.gguf) | imatrix | 0.3 | imatrix file (for creating your own qwuants) |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-IV-i1-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-IV.i1-Q2_K.gguf) | i1-Q2_K | 15.7 | IQ3_XXS probably better |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-IV-i1-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-IV.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 16.5 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-IV-i1-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-IV.i1-IQ3_M.gguf) | i1-IQ3_M | 18.8 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-IV-i1-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-IV.i1-Q3_K_M.gguf) | i1-Q3_K_M | 20.5 | IQ3_S probably better |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-IV-i1-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-IV.i1-Q4_K_S.gguf) | i1-Q4_K_S | 24.3 | optimal size/speed/quality |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-IV-i1-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-IV.i1-Q4_K_M.gguf) | i1-Q4_K_M | 25.8 | fast, recommended |
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Here is a handy graph by ikawrakow comparing some lower-quality quant
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types (lower is better):
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