auto-patch README.md

README.md

@@ -20,7 +20,7 @@ tags:
 static quants of https://huggingface.co/llmixer/BigWeave-v26-95b
 
 <!-- provided-files -->
-weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
+weighted/imatrix quants are available at https://huggingface.co/mradermacher/BigWeave-v26-95b-i1-GGUF
 ## Usage
 
 If you are unsure how to use GGUF files, refer to one of [TheBloke's
@@ -33,7 +33,16 @@ more details, including on how to concatenate multi-part files.
 
 | Link | Type | Size/GB | Notes |
 |:-----|:-----|--------:|:------|
+| [GGUF](https://huggingface.co/mradermacher/BigWeave-v26-95b-GGUF/resolve/main/BigWeave-v26-95b.Q2_K.gguf) | Q2_K | 34.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/BigWeave-v26-95b-GGUF/resolve/main/BigWeave-v26-95b.Q3_K_S.gguf) | Q3_K_S | 40.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/BigWeave-v26-95b-GGUF/resolve/main/BigWeave-v26-95b.Q3_K_M.gguf) | Q3_K_M | 45.6 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/BigWeave-v26-95b-GGUF/resolve/main/BigWeave-v26-95b.Q3_K_L.gguf) | Q3_K_L | 49.7 |  |
 | [PART 1](https://huggingface.co/mradermacher/BigWeave-v26-95b-GGUF/resolve/main/BigWeave-v26-95b.Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v26-95b-GGUF/resolve/main/BigWeave-v26-95b.Q4_K_S.gguf.part2of2) | Q4_K_S | 53.8 | fast, recommended |
+| [PART 1](https://huggingface.co/mradermacher/BigWeave-v26-95b-GGUF/resolve/main/BigWeave-v26-95b.Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v26-95b-GGUF/resolve/main/BigWeave-v26-95b.Q4_K_M.gguf.part2of2) | Q4_K_M | 56.8 | fast, recommended |
+| [PART 1](https://huggingface.co/mradermacher/BigWeave-v26-95b-GGUF/resolve/main/BigWeave-v26-95b.Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v26-95b-GGUF/resolve/main/BigWeave-v26-95b.Q5_K_S.gguf.part2of2) | Q5_K_S | 65.2 |  |
+| [PART 1](https://huggingface.co/mradermacher/BigWeave-v26-95b-GGUF/resolve/main/BigWeave-v26-95b.Q5_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v26-95b-GGUF/resolve/main/BigWeave-v26-95b.Q5_K_M.gguf.part2of2) | Q5_K_M | 67.0 |  |
+| [PART 1](https://huggingface.co/mradermacher/BigWeave-v26-95b-GGUF/resolve/main/BigWeave-v26-95b.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v26-95b-GGUF/resolve/main/BigWeave-v26-95b.Q6_K.gguf.part2of2) | Q6_K | 77.7 | very good quality |
+| [PART 1](https://huggingface.co/mradermacher/BigWeave-v26-95b-GGUF/resolve/main/BigWeave-v26-95b.Q8_0.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/BigWeave-v26-95b-GGUF/resolve/main/BigWeave-v26-95b.Q8_0.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/BigWeave-v26-95b-GGUF/resolve/main/BigWeave-v26-95b.Q8_0.gguf.part3of3) | Q8_0 | 100.7 | fast, best quality |
 
 Here is a handy graph by ikawrakow comparing some lower-quality quant
 types (lower is better):