Transformers
GGUF
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codeqwen
Mixture of Experts
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all use cases
QiMing
QiMing-holos
bagua
decision-making
strategic-analysis
cognitive-architecture
philosophy-driven-ai
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auto-patch README.md
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README.md
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@@ -78,9 +78,11 @@ more details, including on how to concatenate multi-part files.
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| 78 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium-GGUF/resolve/main/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium.Q3_K_S.gguf) | Q3_K_S | 7.8 | |
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| 79 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium-GGUF/resolve/main/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium.Q3_K_M.gguf) | Q3_K_M | 8.5 | lower quality |
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| 80 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium-GGUF/resolve/main/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium.Q3_K_L.gguf) | Q3_K_L | 9.2 | |
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| 81 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium-GGUF/resolve/main/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium.Q4_K_S.gguf) | Q4_K_S | 10.0 | fast, recommended |
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| 82 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium-GGUF/resolve/main/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium.Q4_K_M.gguf) | Q4_K_M | 10.5 | fast, recommended |
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| 83 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium-GGUF/resolve/main/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium.Q5_K_S.gguf) | Q5_K_S | 12.0 | |
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| 84 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium-GGUF/resolve/main/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium.Q6_K.gguf) | Q6_K | 14.1 | very good quality |
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| 85 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium-GGUF/resolve/main/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium.Q8_0.gguf) | Q8_0 | 18.3 | fast, best quality |
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| 86 |
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| 78 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium-GGUF/resolve/main/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium.Q3_K_S.gguf) | Q3_K_S | 7.8 | |
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| 79 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium-GGUF/resolve/main/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium.Q3_K_M.gguf) | Q3_K_M | 8.5 | lower quality |
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| 80 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium-GGUF/resolve/main/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium.Q3_K_L.gguf) | Q3_K_L | 9.2 | |
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| 81 |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium-GGUF/resolve/main/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium.IQ4_XS.gguf) | IQ4_XS | 9.5 | |
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| 82 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium-GGUF/resolve/main/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium.Q4_K_S.gguf) | Q4_K_S | 10.0 | fast, recommended |
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| 83 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium-GGUF/resolve/main/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium.Q4_K_M.gguf) | Q4_K_M | 10.5 | fast, recommended |
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| 84 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium-GGUF/resolve/main/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium.Q5_K_S.gguf) | Q5_K_S | 12.0 | |
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| 85 |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium-GGUF/resolve/main/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium.Q5_K_M.gguf) | Q5_K_M | 12.2 | |
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| 86 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium-GGUF/resolve/main/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium.Q6_K.gguf) | Q6_K | 14.1 | very good quality |
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| 87 |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium-GGUF/resolve/main/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium.Q8_0.gguf) | Q8_0 | 18.3 | fast, best quality |
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| 88 |
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