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auto-patch README.md

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@@ -38,18 +38,29 @@ more details, including on how to concatenate multi-part files.
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  | Link | Type | Size/GB | Notes |
39
  |:-----|:-----|--------:|:------|
40
  | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |
 
41
  | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-IQ1_M.gguf) | i1-IQ1_M | 3.2 | mostly desperate |
 
 
 
42
  | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-Q2_K_S.gguf) | i1-Q2_K_S | 4.5 | very low quality |
43
  | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-IQ2_M.gguf) | i1-IQ2_M | 4.6 | |
44
  | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-Q2_K.gguf) | i1-Q2_K | 5.0 | IQ3_XXS probably better |
45
  | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 5.1 | lower quality |
 
 
46
  | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-Q3_K_S.gguf) | i1-Q3_K_S | 5.8 | IQ3_XS probably better |
47
  | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-IQ3_M.gguf) | i1-IQ3_M | 6.1 | |
48
  | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-Q3_K_M.gguf) | i1-Q3_K_M | 6.4 | IQ3_S probably better |
 
49
  | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-IQ4_XS.gguf) | i1-IQ4_XS | 7.1 | |
50
  | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-IQ4_NL.gguf) | i1-IQ4_NL | 7.5 | prefer IQ4_XS |
 
51
  | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-Q4_K_S.gguf) | i1-Q4_K_S | 7.5 | optimal size/speed/quality |
52
  | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-Q4_K_M.gguf) | i1-Q4_K_M | 8.0 | fast, recommended |
 
 
 
53
  | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-Q6_K.gguf) | i1-Q6_K | 10.8 | practically like static Q6_K |
54
 
55
  Here is a handy graph by ikawrakow comparing some lower-quality quant
 
38
  | Link | Type | Size/GB | Notes |
39
  |:-----|:-----|--------:|:------|
40
  | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |
41
+ | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-IQ1_S.gguf) | i1-IQ1_S | 3.0 | for the desperate |
42
  | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-IQ1_M.gguf) | i1-IQ1_M | 3.2 | mostly desperate |
43
+ | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 3.6 | |
44
+ | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-IQ2_XS.gguf) | i1-IQ2_XS | 4.0 | |
45
+ | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-IQ2_S.gguf) | i1-IQ2_S | 4.3 | |
46
  | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-Q2_K_S.gguf) | i1-Q2_K_S | 4.5 | very low quality |
47
  | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-IQ2_M.gguf) | i1-IQ2_M | 4.6 | |
48
  | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-Q2_K.gguf) | i1-Q2_K | 5.0 | IQ3_XXS probably better |
49
  | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 5.1 | lower quality |
50
+ | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-IQ3_XS.gguf) | i1-IQ3_XS | 5.5 | |
51
+ | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-IQ3_S.gguf) | i1-IQ3_S | 5.8 | beats Q3_K* |
52
  | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-Q3_K_S.gguf) | i1-Q3_K_S | 5.8 | IQ3_XS probably better |
53
  | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-IQ3_M.gguf) | i1-IQ3_M | 6.1 | |
54
  | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-Q3_K_M.gguf) | i1-Q3_K_M | 6.4 | IQ3_S probably better |
55
+ | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-Q3_K_L.gguf) | i1-Q3_K_L | 7.0 | IQ3_M probably better |
56
  | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-IQ4_XS.gguf) | i1-IQ4_XS | 7.1 | |
57
  | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-IQ4_NL.gguf) | i1-IQ4_NL | 7.5 | prefer IQ4_XS |
58
+ | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-Q4_0.gguf) | i1-Q4_0 | 7.5 | fast, low quality |
59
  | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-Q4_K_S.gguf) | i1-Q4_K_S | 7.5 | optimal size/speed/quality |
60
  | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-Q4_K_M.gguf) | i1-Q4_K_M | 8.0 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-Q4_1.gguf) | i1-Q4_1 | 8.3 | |
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+ | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-Q5_K_S.gguf) | i1-Q5_K_S | 9.1 | |
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+ | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-Q5_K_M.gguf) | i1-Q5_K_M | 9.3 | |
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  | [GGUF](https://huggingface.co/mradermacher/ALMA-13B-R-i1-GGUF/resolve/main/ALMA-13B-R.i1-Q6_K.gguf) | i1-Q6_K | 10.8 | practically like static Q6_K |
65
 
66
  Here is a handy graph by ikawrakow comparing some lower-quality quant