auto-patch README.md

README.md

@@ -21,7 +21,6 @@ quantized_by: mradermacher
 <!-- ### vocab_type:  -->
 weighted/imatrix quants of https://huggingface.co/ICBU-NPU/FashionGPT-70B-V1.1
 
-
 <!-- provided-files -->
 static quants are available at https://huggingface.co/mradermacher/FashionGPT-70B-V1.1-GGUF
 ## Usage
@@ -36,7 +35,14 @@ more details, including on how to concatenate multi-part files.
 
 | Link | Type | Size/GB | Notes |
 |:-----|:-----|--------:|:------|
+| [GGUF](https://huggingface.co/mradermacher/FashionGPT-70B-V1.1-i1-GGUF/resolve/main/FashionGPT-70B-V1.1.i1-IQ2_M.gguf) | i1-IQ2_M | 23.3 |  |
+| [GGUF](https://huggingface.co/mradermacher/FashionGPT-70B-V1.1-i1-GGUF/resolve/main/FashionGPT-70B-V1.1.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 26.7 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/FashionGPT-70B-V1.1-i1-GGUF/resolve/main/FashionGPT-70B-V1.1.i1-Q3_K_M.gguf) | i1-Q3_K_M | 33.4 | IQ3_S probably better |
+| [GGUF](https://huggingface.co/mradermacher/FashionGPT-70B-V1.1-i1-GGUF/resolve/main/FashionGPT-70B-V1.1.i1-Q3_K_L.gguf) | i1-Q3_K_L | 36.2 | IQ3_M probably better |
+| [GGUF](https://huggingface.co/mradermacher/FashionGPT-70B-V1.1-i1-GGUF/resolve/main/FashionGPT-70B-V1.1.i1-IQ4_XS.gguf) | i1-IQ4_XS | 36.9 |  |
 | [GGUF](https://huggingface.co/mradermacher/FashionGPT-70B-V1.1-i1-GGUF/resolve/main/FashionGPT-70B-V1.1.i1-Q4_K_S.gguf) | i1-Q4_K_S | 39.3 | optimal size/speed/quality |
+| [GGUF](https://huggingface.co/mradermacher/FashionGPT-70B-V1.1-i1-GGUF/resolve/main/FashionGPT-70B-V1.1.i1-Q4_K_M.gguf) | i1-Q4_K_M | 41.5 | fast, recommended |
+| [PART 1](https://huggingface.co/mradermacher/FashionGPT-70B-V1.1-i1-GGUF/resolve/main/FashionGPT-70B-V1.1.i1-Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/FashionGPT-70B-V1.1-i1-GGUF/resolve/main/FashionGPT-70B-V1.1.i1-Q6_K.gguf.part2of2) | i1-Q6_K | 56.7 | practically like static Q6_K |
 
 
 Here is a handy graph by ikawrakow comparing some lower-quality quant