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auto-patch README.md

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@@ -42,17 +42,26 @@ more details, including on how to concatenate multi-part files.
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  | Link | Type | Size/GB | Notes |
43
  |:-----|:-----|--------:|:------|
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  | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.imatrix.gguf) | imatrix | 0.2 | imatrix file (for creating your own qwuants) |
 
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  | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-IQ1_M.gguf) | i1-IQ1_M | 7.2 | mostly desperate |
 
 
 
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  | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-IQ2_M.gguf) | i1-IQ2_M | 10.3 | |
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  | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-Q2_K_S.gguf) | i1-Q2_K_S | 10.6 | very low quality |
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  | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-Q2_K.gguf) | i1-Q2_K | 11.4 | IQ3_XXS probably better |
49
  | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 11.9 | lower quality |
 
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  | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 13.4 | IQ3_XS probably better |
51
  | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-IQ3_M.gguf) | i1-IQ3_M | 13.6 | |
52
  | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 14.8 | IQ3_S probably better |
 
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  | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 16.5 | |
 
54
  | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 17.6 | optimal size/speed/quality |
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  | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 18.7 | fast, recommended |
 
 
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  | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-Q6_K.gguf) | i1-Q6_K | 25.2 | practically like static Q6_K |
57
 
58
  Here is a handy graph by ikawrakow comparing some lower-quality quant
 
42
  | Link | Type | Size/GB | Notes |
43
  |:-----|:-----|--------:|:------|
44
  | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.imatrix.gguf) | imatrix | 0.2 | imatrix file (for creating your own qwuants) |
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+ | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-IQ1_S.gguf) | i1-IQ1_S | 6.5 | for the desperate |
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  | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-IQ1_M.gguf) | i1-IQ1_M | 7.2 | mostly desperate |
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+ | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 8.3 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 9.2 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-IQ2_S.gguf) | i1-IQ2_S | 9.4 | |
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  | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-IQ2_M.gguf) | i1-IQ2_M | 10.3 | |
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  | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-Q2_K_S.gguf) | i1-Q2_K_S | 10.6 | very low quality |
52
  | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-Q2_K.gguf) | i1-Q2_K | 11.4 | IQ3_XXS probably better |
53
  | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 11.9 | lower quality |
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+ | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 12.7 | |
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  | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 13.4 | IQ3_XS probably better |
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  | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-IQ3_M.gguf) | i1-IQ3_M | 13.6 | |
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  | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 14.8 | IQ3_S probably better |
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+ | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 16.0 | IQ3_M probably better |
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  | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 16.5 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-Q4_0.gguf) | i1-Q4_0 | 17.5 | fast, low quality |
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  | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 17.6 | optimal size/speed/quality |
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  | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 18.7 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 21.2 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 21.8 | |
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  | [GGUF](https://huggingface.co/mradermacher/Gelato-30B-A3B-i1-GGUF/resolve/main/Gelato-30B-A3B.i1-Q6_K.gguf) | i1-Q6_K | 25.2 | practically like static Q6_K |
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67
  Here is a handy graph by ikawrakow comparing some lower-quality quant