Transformers
GGUF
programming
code generation
code
codeqwen
Mixture of Experts
coding
coder
qwen2
chat
qwen
qwen-coder
Qwen3-30B-A3B-Thinking-2507
Qwen3-30B-A3B
mixture of experts
128 experts
10 active experts
256k context
qwen3
finetune
brainstorm 40x
brainstorm
thinking
reasoning
qwen3_moe
conversational
auto-patch README.md
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README.md
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| Link | Type | Size/GB | Notes |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-53B-A3B-2507-THINKING-TOTAL-RECALL-v2-MASTER-CODER-GGUF/resolve/main/Qwen3-53B-A3B-2507-THINKING-TOTAL-RECALL-v2-MASTER-CODER.Q4_K_S.gguf) | Q4_K_S | 30.3 | 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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| Link | Type | Size/GB | Notes |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-53B-A3B-2507-THINKING-TOTAL-RECALL-v2-MASTER-CODER-GGUF/resolve/main/Qwen3-53B-A3B-2507-THINKING-TOTAL-RECALL-v2-MASTER-CODER.Q2_K.gguf) | Q2_K | 19.5 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-53B-A3B-2507-THINKING-TOTAL-RECALL-v2-MASTER-CODER-GGUF/resolve/main/Qwen3-53B-A3B-2507-THINKING-TOTAL-RECALL-v2-MASTER-CODER.Q3_K_S.gguf) | Q3_K_S | 23.1 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-53B-A3B-2507-THINKING-TOTAL-RECALL-v2-MASTER-CODER-GGUF/resolve/main/Qwen3-53B-A3B-2507-THINKING-TOTAL-RECALL-v2-MASTER-CODER.Q3_K_M.gguf) | Q3_K_M | 25.5 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-53B-A3B-2507-THINKING-TOTAL-RECALL-v2-MASTER-CODER-GGUF/resolve/main/Qwen3-53B-A3B-2507-THINKING-TOTAL-RECALL-v2-MASTER-CODER.Q3_K_L.gguf) | Q3_K_L | 27.6 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-53B-A3B-2507-THINKING-TOTAL-RECALL-v2-MASTER-CODER-GGUF/resolve/main/Qwen3-53B-A3B-2507-THINKING-TOTAL-RECALL-v2-MASTER-CODER.Q4_K_S.gguf) | Q4_K_S | 30.3 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-53B-A3B-2507-THINKING-TOTAL-RECALL-v2-MASTER-CODER-GGUF/resolve/main/Qwen3-53B-A3B-2507-THINKING-TOTAL-RECALL-v2-MASTER-CODER.Q4_K_M.gguf) | Q4_K_M | 32.2 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-53B-A3B-2507-THINKING-TOTAL-RECALL-v2-MASTER-CODER-GGUF/resolve/main/Qwen3-53B-A3B-2507-THINKING-TOTAL-RECALL-v2-MASTER-CODER.Q5_K_S.gguf) | Q5_K_S | 36.6 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-53B-A3B-2507-THINKING-TOTAL-RECALL-v2-MASTER-CODER-GGUF/resolve/main/Qwen3-53B-A3B-2507-THINKING-TOTAL-RECALL-v2-MASTER-CODER.Q6_K.gguf) | Q6_K | 43.6 | very good quality |
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| [PART 1](https://huggingface.co/mradermacher/Qwen3-53B-A3B-2507-THINKING-TOTAL-RECALL-v2-MASTER-CODER-GGUF/resolve/main/Qwen3-53B-A3B-2507-THINKING-TOTAL-RECALL-v2-MASTER-CODER.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Qwen3-53B-A3B-2507-THINKING-TOTAL-RECALL-v2-MASTER-CODER-GGUF/resolve/main/Qwen3-53B-A3B-2507-THINKING-TOTAL-RECALL-v2-MASTER-CODER.Q8_0.gguf.part2of2) | Q8_0 | 56.4 | fast, best quality |
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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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