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
conversational
auto-patch README.md
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README.md
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@@ -74,6 +74,7 @@ more details, including on how to concatenate multi-part files.
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| 75 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL.Q2_K.gguf) | Q2_K | 15.7 | |
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| 76 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL.Q4_K_S.gguf) | Q4_K_S | 24.3 | fast, recommended |
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| 77 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL.Q8_0.gguf) | Q8_0 | 45.2 | fast, best quality |
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Here is a handy graph by ikawrakow comparing some lower-quality quant
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| 74 |
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| 75 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL.Q2_K.gguf) | Q2_K | 15.7 | |
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| 76 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL.Q4_K_S.gguf) | Q4_K_S | 24.3 | fast, recommended |
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| 77 |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL.Q6_K.gguf) | Q6_K | 34.9 | very good quality |
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| 78 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL.Q8_0.gguf) | Q8_0 | 45.2 | fast, best quality |
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| 79 |
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| 80 |
Here is a handy graph by ikawrakow comparing some lower-quality quant
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