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auto-patch README.md

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@@ -37,6 +37,7 @@ more details, including on how to concatenate multi-part files.
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  | Link | Type | Size/GB | Notes |
39
  |:-----|:-----|--------:|:------|
 
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  | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-IQ1_M.gguf) | i1-IQ1_M | 3.6 | mostly desperate |
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  | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 4.0 | |
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  | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-IQ2_XS.gguf) | i1-IQ2_XS | 4.4 | |
@@ -45,15 +46,20 @@ more details, including on how to concatenate multi-part files.
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  | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-IQ2_M.gguf) | i1-IQ2_M | 5.0 | |
46
  | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-Q2_K.gguf) | i1-Q2_K | 5.4 | IQ3_XXS probably better |
47
  | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 5.5 | lower quality |
 
 
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  | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-Q3_K_S.gguf) | i1-Q3_K_S | 6.2 | IQ3_XS probably better |
49
  | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-IQ3_M.gguf) | i1-IQ3_M | 6.5 | |
50
  | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-Q3_K_M.gguf) | i1-Q3_K_M | 6.9 | IQ3_S probably better |
51
  | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-Q3_K_L.gguf) | i1-Q3_K_L | 7.5 | IQ3_M probably better |
52
  | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-IQ4_XS.gguf) | i1-IQ4_XS | 7.6 | |
53
  | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-IQ4_NL.gguf) | i1-IQ4_NL | 8.0 | prefer IQ4_XS |
 
54
  | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-Q4_K_S.gguf) | i1-Q4_K_S | 8.0 | optimal size/speed/quality |
55
  | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-Q4_K_M.gguf) | i1-Q4_K_M | 8.5 | fast, recommended |
 
56
  | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-Q5_K_S.gguf) | i1-Q5_K_S | 9.6 | |
 
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  | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-Q6_K.gguf) | i1-Q6_K | 11.4 | practically like static Q6_K |
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59
  Here is a handy graph by ikawrakow comparing some lower-quality quant
 
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  | Link | Type | Size/GB | Notes |
39
  |:-----|:-----|--------:|:------|
40
+ | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-IQ1_S.gguf) | i1-IQ1_S | 3.4 | for the desperate |
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  | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-IQ1_M.gguf) | i1-IQ1_M | 3.6 | mostly desperate |
42
  | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 4.0 | |
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  | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-IQ2_XS.gguf) | i1-IQ2_XS | 4.4 | |
 
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  | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-IQ2_M.gguf) | i1-IQ2_M | 5.0 | |
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  | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-Q2_K.gguf) | i1-Q2_K | 5.4 | IQ3_XXS probably better |
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  | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 5.5 | lower quality |
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+ | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-IQ3_XS.gguf) | i1-IQ3_XS | 5.9 | |
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+ | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-IQ3_S.gguf) | i1-IQ3_S | 6.2 | beats Q3_K* |
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  | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-Q3_K_S.gguf) | i1-Q3_K_S | 6.2 | IQ3_XS probably better |
52
  | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-IQ3_M.gguf) | i1-IQ3_M | 6.5 | |
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  | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-Q3_K_M.gguf) | i1-Q3_K_M | 6.9 | IQ3_S probably better |
54
  | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-Q3_K_L.gguf) | i1-Q3_K_L | 7.5 | IQ3_M probably better |
55
  | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-IQ4_XS.gguf) | i1-IQ4_XS | 7.6 | |
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  | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-IQ4_NL.gguf) | i1-IQ4_NL | 8.0 | prefer IQ4_XS |
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+ | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-Q4_0.gguf) | i1-Q4_0 | 8.0 | fast, low quality |
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  | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-Q4_K_S.gguf) | i1-Q4_K_S | 8.0 | optimal size/speed/quality |
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  | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-Q4_K_M.gguf) | i1-Q4_K_M | 8.5 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-Q4_1.gguf) | i1-Q4_1 | 8.8 | |
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  | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-Q5_K_S.gguf) | i1-Q5_K_S | 9.6 | |
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+ | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-Q5_K_M.gguf) | i1-Q5_K_M | 9.9 | |
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  | [GGUF](https://huggingface.co/mradermacher/sarashina-13B-finetuned-v1-i1-GGUF/resolve/main/sarashina-13B-finetuned-v1.i1-Q6_K.gguf) | i1-Q6_K | 11.4 | practically like static Q6_K |
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  Here is a handy graph by ikawrakow comparing some lower-quality quant