Transformers
GGUF
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codeqwen
Mixture of Experts
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Qwen3-Coder-30B-A3B-Instruct
Qwen3-30B-A3B
mixture of experts
128 experts
8 active experts
1 million context
qwen3
finetune
brainstorm 20x
brainstorm
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qwen3_moe
imatrix
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auto-patch README.md
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README.md
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@@ -87,9 +87,11 @@ more details, including on how to concatenate multi-part files.
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| 87 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-i1-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL.i1-Q3_K_M.gguf) | i1-Q3_K_M | 20.5 | IQ3_S probably better |
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| 88 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-i1-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL.i1-Q3_K_L.gguf) | i1-Q3_K_L | 22.1 | IQ3_M probably better |
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| 89 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-i1-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL.i1-IQ4_XS.gguf) | i1-IQ4_XS | 22.8 | |
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| 90 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-i1-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL.i1-Q4_K_S.gguf) | i1-Q4_K_S | 24.3 | optimal size/speed/quality |
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| 91 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-i1-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL.i1-Q4_K_M.gguf) | i1-Q4_K_M | 25.8 | fast, recommended |
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| 92 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-i1-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL.i1-Q5_K_S.gguf) | i1-Q5_K_S | 29.3 | |
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| 93 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-i1-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL.i1-Q6_K.gguf) | i1-Q6_K | 34.9 | practically like static Q6_K |
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| 94 |
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| 95 |
Here is a handy graph by ikawrakow comparing some lower-quality quant
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| 87 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-i1-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL.i1-Q3_K_M.gguf) | i1-Q3_K_M | 20.5 | IQ3_S probably better |
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| 88 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-i1-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL.i1-Q3_K_L.gguf) | i1-Q3_K_L | 22.1 | IQ3_M probably better |
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| 89 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-i1-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL.i1-IQ4_XS.gguf) | i1-IQ4_XS | 22.8 | |
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| 90 |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-i1-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL.i1-Q4_0.gguf) | i1-Q4_0 | 24.2 | fast, low quality |
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| 91 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-i1-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL.i1-Q4_K_S.gguf) | i1-Q4_K_S | 24.3 | optimal size/speed/quality |
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| 92 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-i1-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL.i1-Q4_K_M.gguf) | i1-Q4_K_M | 25.8 | fast, recommended |
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| 93 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-i1-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL.i1-Q5_K_S.gguf) | i1-Q5_K_S | 29.3 | |
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| 94 |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-i1-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL.i1-Q5_K_M.gguf) | i1-Q5_K_M | 30.2 | |
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| 95 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-i1-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL.i1-Q6_K.gguf) | i1-Q6_K | 34.9 | practically like static Q6_K |
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| 96 |
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| 97 |
Here is a handy graph by ikawrakow comparing some lower-quality quant
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