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auto-patch README.md

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@@ -76,6 +76,7 @@ more details, including on how to concatenate multi-part files.
76
  | Link | Type | Size/GB | Notes |
77
  |:-----|:-----|--------:|:------|
78
  | [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-i1-GGUF/resolve/main/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG.imatrix.gguf) | imatrix | 0.3 | imatrix file (for creating your own qwuants) |
 
79
  | [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-i1-GGUF/resolve/main/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG.i1-IQ1_M.gguf) | i1-IQ1_M | 9.8 | mostly desperate |
80
  | [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-i1-GGUF/resolve/main/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 11.4 | |
81
  | [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-i1-GGUF/resolve/main/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG.i1-IQ2_XS.gguf) | i1-IQ2_XS | 12.6 | |
@@ -89,9 +90,11 @@ more details, including on how to concatenate multi-part files.
89
  | [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-i1-GGUF/resolve/main/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG.i1-Q3_K_M.gguf) | i1-Q3_K_M | 20.5 | IQ3_S probably better |
90
  | [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-i1-GGUF/resolve/main/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG.i1-Q3_K_L.gguf) | i1-Q3_K_L | 22.1 | IQ3_M probably better |
91
  | [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-i1-GGUF/resolve/main/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG.i1-IQ4_XS.gguf) | i1-IQ4_XS | 22.8 | |
 
92
  | [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-i1-GGUF/resolve/main/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG.i1-Q4_K_S.gguf) | i1-Q4_K_S | 24.3 | optimal size/speed/quality |
93
  | [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-i1-GGUF/resolve/main/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG.i1-Q4_K_M.gguf) | i1-Q4_K_M | 25.8 | fast, recommended |
94
  | [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-i1-GGUF/resolve/main/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG.i1-Q5_K_S.gguf) | i1-Q5_K_S | 29.3 | |
 
95
  | [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-i1-GGUF/resolve/main/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG.i1-Q6_K.gguf) | i1-Q6_K | 34.9 | practically like static Q6_K |
96
 
97
  Here is a handy graph by ikawrakow comparing some lower-quality quant
 
76
  | Link | Type | Size/GB | Notes |
77
  |:-----|:-----|--------:|:------|
78
  | [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-i1-GGUF/resolve/main/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG.imatrix.gguf) | imatrix | 0.3 | imatrix file (for creating your own qwuants) |
79
+ | [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-i1-GGUF/resolve/main/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG.i1-IQ1_S.gguf) | i1-IQ1_S | 8.9 | for the desperate |
80
  | [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-i1-GGUF/resolve/main/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG.i1-IQ1_M.gguf) | i1-IQ1_M | 9.8 | mostly desperate |
81
  | [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-i1-GGUF/resolve/main/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 11.4 | |
82
  | [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-i1-GGUF/resolve/main/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG.i1-IQ2_XS.gguf) | i1-IQ2_XS | 12.6 | |
 
90
  | [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-i1-GGUF/resolve/main/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG.i1-Q3_K_M.gguf) | i1-Q3_K_M | 20.5 | IQ3_S probably better |
91
  | [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-i1-GGUF/resolve/main/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG.i1-Q3_K_L.gguf) | i1-Q3_K_L | 22.1 | IQ3_M probably better |
92
  | [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-i1-GGUF/resolve/main/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG.i1-IQ4_XS.gguf) | i1-IQ4_XS | 22.8 | |
93
+ | [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-i1-GGUF/resolve/main/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG.i1-Q4_0.gguf) | i1-Q4_0 | 24.2 | fast, low quality |
94
  | [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-i1-GGUF/resolve/main/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG.i1-Q4_K_S.gguf) | i1-Q4_K_S | 24.3 | optimal size/speed/quality |
95
  | [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-i1-GGUF/resolve/main/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG.i1-Q4_K_M.gguf) | i1-Q4_K_M | 25.8 | fast, recommended |
96
  | [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-i1-GGUF/resolve/main/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG.i1-Q5_K_S.gguf) | i1-Q5_K_S | 29.3 | |
97
+ | [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-i1-GGUF/resolve/main/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG.i1-Q5_K_M.gguf) | i1-Q5_K_M | 30.2 | |
98
  | [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-i1-GGUF/resolve/main/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG.i1-Q6_K.gguf) | i1-Q6_K | 34.9 | practically like static Q6_K |
99
 
100
  Here is a handy graph by ikawrakow comparing some lower-quality quant