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auto-patch README.md

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@@ -64,6 +64,7 @@ more details, including on how to concatenate multi-part files.
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  | Link | Type | Size/GB | Notes |
66
  |:-----|:-----|--------:|:------|
 
67
  | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-IQ1_M.gguf) | i1-IQ1_M | 8.5 | mostly desperate |
68
  | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 9.5 | |
69
  | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-IQ2_XS.gguf) | i1-IQ2_XS | 10.4 | |
@@ -72,14 +73,18 @@ more details, including on how to concatenate multi-part files.
72
  | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q2_K_S.gguf) | i1-Q2_K_S | 12.1 | very low quality |
73
  | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q2_K.gguf) | i1-Q2_K | 12.9 | IQ3_XXS probably better |
74
  | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 13.1 | lower quality |
 
75
  | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q3_K_S.gguf) | i1-Q3_K_S | 14.8 | IQ3_XS probably better |
 
76
  | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-IQ3_M.gguf) | i1-IQ3_M | 15.3 | |
77
  | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q3_K_M.gguf) | i1-Q3_K_M | 16.3 | IQ3_S probably better |
78
  | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q3_K_L.gguf) | i1-Q3_K_L | 17.7 | IQ3_M probably better |
79
  | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-IQ4_XS.gguf) | i1-IQ4_XS | 17.9 | |
 
80
  | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q4_K_S.gguf) | i1-Q4_K_S | 18.9 | optimal size/speed/quality |
81
  | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q4_K_M.gguf) | i1-Q4_K_M | 19.9 | fast, recommended |
82
  | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q5_K_S.gguf) | i1-Q5_K_S | 22.6 | |
 
83
  | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q6_K.gguf) | i1-Q6_K | 26.6 | practically like static Q6_K |
84
 
85
  Here is a handy graph by ikawrakow comparing some lower-quality quant
 
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  | Link | Type | Size/GB | Notes |
66
  |:-----|:-----|--------:|:------|
67
+ | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-IQ1_S.gguf) | i1-IQ1_S | 7.9 | for the desperate |
68
  | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-IQ1_M.gguf) | i1-IQ1_M | 8.5 | mostly desperate |
69
  | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 9.5 | |
70
  | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-IQ2_XS.gguf) | i1-IQ2_XS | 10.4 | |
 
73
  | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q2_K_S.gguf) | i1-Q2_K_S | 12.1 | very low quality |
74
  | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q2_K.gguf) | i1-Q2_K | 12.9 | IQ3_XXS probably better |
75
  | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 13.1 | lower quality |
76
+ | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-IQ3_XS.gguf) | i1-IQ3_XS | 14.1 | |
77
  | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q3_K_S.gguf) | i1-Q3_K_S | 14.8 | IQ3_XS probably better |
78
+ | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-IQ3_S.gguf) | i1-IQ3_S | 14.9 | beats Q3_K* |
79
  | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-IQ3_M.gguf) | i1-IQ3_M | 15.3 | |
80
  | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q3_K_M.gguf) | i1-Q3_K_M | 16.3 | IQ3_S probably better |
81
  | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q3_K_L.gguf) | i1-Q3_K_L | 17.7 | IQ3_M probably better |
82
  | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-IQ4_XS.gguf) | i1-IQ4_XS | 17.9 | |
83
+ | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q4_0.gguf) | i1-Q4_0 | 18.9 | fast, low quality |
84
  | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q4_K_S.gguf) | i1-Q4_K_S | 18.9 | optimal size/speed/quality |
85
  | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q4_K_M.gguf) | i1-Q4_K_M | 19.9 | fast, recommended |
86
  | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q5_K_S.gguf) | i1-Q5_K_S | 22.6 | |
87
+ | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q5_K_M.gguf) | i1-Q5_K_M | 23.2 | |
88
  | [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q6_K.gguf) | i1-Q6_K | 26.6 | practically like static Q6_K |
89
 
90
  Here is a handy graph by ikawrakow comparing some lower-quality quant