auto-patch README.md

README.md

@@ -28,11 +28,27 @@ more details, including on how to concatenate multi-part files.
 
 | Link | Type | Size/GB | Notes |
 |:-----|:-----|--------:|:------|
+| [GGUF](https://huggingface.co/mradermacher/llama-30b-i1-GGUF/resolve/main/llama-30b.i1-IQ1_S.gguf) | i1-IQ1_S | 7.2 | for the desperate |
+| [GGUF](https://huggingface.co/mradermacher/llama-30b-i1-GGUF/resolve/main/llama-30b.i1-IQ1_M.gguf) | i1-IQ1_M | 7.8 | mostly desperate |
+| [GGUF](https://huggingface.co/mradermacher/llama-30b-i1-GGUF/resolve/main/llama-30b.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 8.8 |  |
+| [GGUF](https://huggingface.co/mradermacher/llama-30b-i1-GGUF/resolve/main/llama-30b.i1-IQ2_XS.gguf) | i1-IQ2_XS | 9.7 |  |
+| [GGUF](https://huggingface.co/mradermacher/llama-30b-i1-GGUF/resolve/main/llama-30b.i1-IQ2_S.gguf) | i1-IQ2_S | 10.5 |  |
+| [GGUF](https://huggingface.co/mradermacher/llama-30b-i1-GGUF/resolve/main/llama-30b.i1-IQ2_M.gguf) | i1-IQ2_M | 11.3 |  |
 | [GGUF](https://huggingface.co/mradermacher/llama-30b-i1-GGUF/resolve/main/llama-30b.i1-Q2_K.gguf) | i1-Q2_K | 12.1 | IQ3_XXS probably better |
 | [GGUF](https://huggingface.co/mradermacher/llama-30b-i1-GGUF/resolve/main/llama-30b.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 12.4 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/llama-30b-i1-GGUF/resolve/main/llama-30b.i1-IQ3_XS.gguf) | i1-IQ3_XS | 13.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/llama-30b-i1-GGUF/resolve/main/llama-30b.i1-IQ3_S.gguf) | i1-IQ3_S | 14.2 | beats Q3_K* |
+| [GGUF](https://huggingface.co/mradermacher/llama-30b-i1-GGUF/resolve/main/llama-30b.i1-Q3_K_S.gguf) | i1-Q3_K_S | 14.2 | IQ3_XS probably better |
 | [GGUF](https://huggingface.co/mradermacher/llama-30b-i1-GGUF/resolve/main/llama-30b.i1-IQ3_M.gguf) | i1-IQ3_M | 15.0 |  |
 | [GGUF](https://huggingface.co/mradermacher/llama-30b-i1-GGUF/resolve/main/llama-30b.i1-Q3_K_M.gguf) | i1-Q3_K_M | 15.9 | IQ3_S probably better |
+| [GGUF](https://huggingface.co/mradermacher/llama-30b-i1-GGUF/resolve/main/llama-30b.i1-Q3_K_L.gguf) | i1-Q3_K_L | 17.4 | IQ3_M probably better |
+| [GGUF](https://huggingface.co/mradermacher/llama-30b-i1-GGUF/resolve/main/llama-30b.i1-IQ4_XS.gguf) | i1-IQ4_XS | 17.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/llama-30b-i1-GGUF/resolve/main/llama-30b.i1-Q4_0.gguf) | i1-Q4_0 | 18.5 | fast, low quality |
 | [GGUF](https://huggingface.co/mradermacher/llama-30b-i1-GGUF/resolve/main/llama-30b.i1-Q4_K_S.gguf) | i1-Q4_K_S | 18.6 | optimal size/speed/quality |
+| [GGUF](https://huggingface.co/mradermacher/llama-30b-i1-GGUF/resolve/main/llama-30b.i1-Q4_K_M.gguf) | i1-Q4_K_M | 19.7 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/llama-30b-i1-GGUF/resolve/main/llama-30b.i1-Q5_K_S.gguf) | i1-Q5_K_S | 22.5 |  |
+| [GGUF](https://huggingface.co/mradermacher/llama-30b-i1-GGUF/resolve/main/llama-30b.i1-Q5_K_M.gguf) | i1-Q5_K_M | 23.1 |  |
+| [GGUF](https://huggingface.co/mradermacher/llama-30b-i1-GGUF/resolve/main/llama-30b.i1-Q6_K.gguf) | i1-Q6_K | 26.8 | practically like static Q6_K |
 
 Here is a handy graph by ikawrakow comparing some lower-quality quant
 types (lower is better):