auto-patch README.md

README.md

@@ -86,8 +86,13 @@ more details, including on how to concatenate multi-part files.
 | [GGUF](https://huggingface.co/mradermacher/X-ALMA-13B-Pretrain-GGUF/resolve/main/X-ALMA-13B-Pretrain.Q3_K_S.gguf) | Q3_K_S | 5.8 |  |
 | [GGUF](https://huggingface.co/mradermacher/X-ALMA-13B-Pretrain-GGUF/resolve/main/X-ALMA-13B-Pretrain.Q3_K_M.gguf) | Q3_K_M | 6.4 | lower quality |
 | [GGUF](https://huggingface.co/mradermacher/X-ALMA-13B-Pretrain-GGUF/resolve/main/X-ALMA-13B-Pretrain.Q3_K_L.gguf) | Q3_K_L | 7.0 |  |
+| [GGUF](https://huggingface.co/mradermacher/X-ALMA-13B-Pretrain-GGUF/resolve/main/X-ALMA-13B-Pretrain.IQ4_XS.gguf) | IQ4_XS | 7.1 |  |
 | [GGUF](https://huggingface.co/mradermacher/X-ALMA-13B-Pretrain-GGUF/resolve/main/X-ALMA-13B-Pretrain.Q4_K_S.gguf) | Q4_K_S | 7.5 | fast, recommended |
 | [GGUF](https://huggingface.co/mradermacher/X-ALMA-13B-Pretrain-GGUF/resolve/main/X-ALMA-13B-Pretrain.Q4_K_M.gguf) | Q4_K_M | 8.0 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/X-ALMA-13B-Pretrain-GGUF/resolve/main/X-ALMA-13B-Pretrain.Q5_K_S.gguf) | Q5_K_S | 9.1 |  |
+| [GGUF](https://huggingface.co/mradermacher/X-ALMA-13B-Pretrain-GGUF/resolve/main/X-ALMA-13B-Pretrain.Q5_K_M.gguf) | Q5_K_M | 9.3 |  |
+| [GGUF](https://huggingface.co/mradermacher/X-ALMA-13B-Pretrain-GGUF/resolve/main/X-ALMA-13B-Pretrain.Q6_K.gguf) | Q6_K | 10.8 | very good quality |
+| [GGUF](https://huggingface.co/mradermacher/X-ALMA-13B-Pretrain-GGUF/resolve/main/X-ALMA-13B-Pretrain.Q8_0.gguf) | Q8_0 | 13.9 | fast, best quality |
 
 Here is a handy graph by ikawrakow comparing some lower-quality quant
 types (lower is better):