auto-patch README.md

README.md

@@ -31,9 +31,13 @@ more details, including on how to concatenate multi-part files.
 | [GGUF](https://huggingface.co/mradermacher/Tess-2.0-Llama-3-8B-i1-GGUF/resolve/main/Tess-2.0-Llama-3-8B.i1-IQ2_M.gguf) | i1-IQ2_M | 3.0 |  |
 | [GGUF](https://huggingface.co/mradermacher/Tess-2.0-Llama-3-8B-i1-GGUF/resolve/main/Tess-2.0-Llama-3-8B.i1-Q2_K.gguf) | i1-Q2_K | 3.3 | IQ3_XXS probably better |
 | [GGUF](https://huggingface.co/mradermacher/Tess-2.0-Llama-3-8B-i1-GGUF/resolve/main/Tess-2.0-Llama-3-8B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 3.4 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/Tess-2.0-Llama-3-8B-i1-GGUF/resolve/main/Tess-2.0-Llama-3-8B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.8 | IQ3_XS probably better |
 | [GGUF](https://huggingface.co/mradermacher/Tess-2.0-Llama-3-8B-i1-GGUF/resolve/main/Tess-2.0-Llama-3-8B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 4.1 | IQ3_S probably better |
+| [GGUF](https://huggingface.co/mradermacher/Tess-2.0-Llama-3-8B-i1-GGUF/resolve/main/Tess-2.0-Llama-3-8B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 4.4 | IQ3_M probably better |
+| [GGUF](https://huggingface.co/mradermacher/Tess-2.0-Llama-3-8B-i1-GGUF/resolve/main/Tess-2.0-Llama-3-8B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 4.5 |  |
 | [GGUF](https://huggingface.co/mradermacher/Tess-2.0-Llama-3-8B-i1-GGUF/resolve/main/Tess-2.0-Llama-3-8B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 4.8 | optimal size/speed/quality |
 | [GGUF](https://huggingface.co/mradermacher/Tess-2.0-Llama-3-8B-i1-GGUF/resolve/main/Tess-2.0-Llama-3-8B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 5.0 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Tess-2.0-Llama-3-8B-i1-GGUF/resolve/main/Tess-2.0-Llama-3-8B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 5.7 |  |
 | [GGUF](https://huggingface.co/mradermacher/Tess-2.0-Llama-3-8B-i1-GGUF/resolve/main/Tess-2.0-Llama-3-8B.i1-Q6_K.gguf) | i1-Q6_K | 6.7 | practically like static Q6_K |
 
 Here is a handy graph by ikawrakow comparing some lower-quality quant