auto-patch README.md

README.md

@@ -29,8 +29,27 @@ more details, including on how to concatenate multi-part files.
 
 | Link | Type | Size/GB | Notes |
 |:-----|:-----|--------:|:------|
+| [GGUF](https://huggingface.co/mradermacher/yi-34b-200k-rawrr-dpo-2-i1-GGUF/resolve/main/yi-34b-200k-rawrr-dpo-2.i1-IQ1_S.gguf) | i1-IQ1_S | 7.6 | for the desperate |
+| [GGUF](https://huggingface.co/mradermacher/yi-34b-200k-rawrr-dpo-2-i1-GGUF/resolve/main/yi-34b-200k-rawrr-dpo-2.i1-IQ1_M.gguf) | i1-IQ1_M | 8.3 | mostly desperate |
+| [GGUF](https://huggingface.co/mradermacher/yi-34b-200k-rawrr-dpo-2-i1-GGUF/resolve/main/yi-34b-200k-rawrr-dpo-2.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 9.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/yi-34b-200k-rawrr-dpo-2-i1-GGUF/resolve/main/yi-34b-200k-rawrr-dpo-2.i1-IQ2_XS.gguf) | i1-IQ2_XS | 10.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/yi-34b-200k-rawrr-dpo-2-i1-GGUF/resolve/main/yi-34b-200k-rawrr-dpo-2.i1-IQ2_S.gguf) | i1-IQ2_S | 11.0 |  |
+| [GGUF](https://huggingface.co/mradermacher/yi-34b-200k-rawrr-dpo-2-i1-GGUF/resolve/main/yi-34b-200k-rawrr-dpo-2.i1-IQ2_M.gguf) | i1-IQ2_M | 11.9 |  |
 | [GGUF](https://huggingface.co/mradermacher/yi-34b-200k-rawrr-dpo-2-i1-GGUF/resolve/main/yi-34b-200k-rawrr-dpo-2.i1-Q2_K.gguf) | i1-Q2_K | 12.9 | IQ3_XXS probably better |
+| [GGUF](https://huggingface.co/mradermacher/yi-34b-200k-rawrr-dpo-2-i1-GGUF/resolve/main/yi-34b-200k-rawrr-dpo-2.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 13.4 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/yi-34b-200k-rawrr-dpo-2-i1-GGUF/resolve/main/yi-34b-200k-rawrr-dpo-2.i1-IQ3_XS.gguf) | i1-IQ3_XS | 14.3 |  |
+| [GGUF](https://huggingface.co/mradermacher/yi-34b-200k-rawrr-dpo-2-i1-GGUF/resolve/main/yi-34b-200k-rawrr-dpo-2.i1-Q3_K_S.gguf) | i1-Q3_K_S | 15.1 | IQ3_XS probably better |
+| [GGUF](https://huggingface.co/mradermacher/yi-34b-200k-rawrr-dpo-2-i1-GGUF/resolve/main/yi-34b-200k-rawrr-dpo-2.i1-IQ3_S.gguf) | i1-IQ3_S | 15.1 | beats Q3_K* |
 | [GGUF](https://huggingface.co/mradermacher/yi-34b-200k-rawrr-dpo-2-i1-GGUF/resolve/main/yi-34b-200k-rawrr-dpo-2.i1-IQ3_M.gguf) | i1-IQ3_M | 15.7 |  |
+| [GGUF](https://huggingface.co/mradermacher/yi-34b-200k-rawrr-dpo-2-i1-GGUF/resolve/main/yi-34b-200k-rawrr-dpo-2.i1-Q3_K_M.gguf) | i1-Q3_K_M | 16.8 | IQ3_S probably better |
+| [GGUF](https://huggingface.co/mradermacher/yi-34b-200k-rawrr-dpo-2-i1-GGUF/resolve/main/yi-34b-200k-rawrr-dpo-2.i1-Q3_K_L.gguf) | i1-Q3_K_L | 18.2 | IQ3_M probably better |
+| [GGUF](https://huggingface.co/mradermacher/yi-34b-200k-rawrr-dpo-2-i1-GGUF/resolve/main/yi-34b-200k-rawrr-dpo-2.i1-IQ4_XS.gguf) | i1-IQ4_XS | 18.6 |  |
+| [GGUF](https://huggingface.co/mradermacher/yi-34b-200k-rawrr-dpo-2-i1-GGUF/resolve/main/yi-34b-200k-rawrr-dpo-2.i1-Q4_0.gguf) | i1-Q4_0 | 19.6 | fast, low quality |
+| [GGUF](https://huggingface.co/mradermacher/yi-34b-200k-rawrr-dpo-2-i1-GGUF/resolve/main/yi-34b-200k-rawrr-dpo-2.i1-Q4_K_S.gguf) | i1-Q4_K_S | 19.7 | optimal size/speed/quality |
+| [GGUF](https://huggingface.co/mradermacher/yi-34b-200k-rawrr-dpo-2-i1-GGUF/resolve/main/yi-34b-200k-rawrr-dpo-2.i1-Q4_K_M.gguf) | i1-Q4_K_M | 20.8 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/yi-34b-200k-rawrr-dpo-2-i1-GGUF/resolve/main/yi-34b-200k-rawrr-dpo-2.i1-Q5_K_S.gguf) | i1-Q5_K_S | 23.8 |  |
+| [GGUF](https://huggingface.co/mradermacher/yi-34b-200k-rawrr-dpo-2-i1-GGUF/resolve/main/yi-34b-200k-rawrr-dpo-2.i1-Q5_K_M.gguf) | i1-Q5_K_M | 24.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/yi-34b-200k-rawrr-dpo-2-i1-GGUF/resolve/main/yi-34b-200k-rawrr-dpo-2.i1-Q6_K.gguf) | i1-Q6_K | 28.3 | practically like static Q6_K |
 
 Here is a handy graph by ikawrakow comparing some lower-quality quant
 types (lower is better):