auto-patch README.md

README.md

@@ -16,7 +16,7 @@ quantized_by: mradermacher
 static quants of https://huggingface.co/01-ai/Yi-1.5-34B-32K
 
 <!-- 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/Yi-1.5-34B-32K-i1-GGUF
 ## Usage
 
 If you are unsure how to use GGUF files, refer to one of [TheBloke's
@@ -29,8 +29,19 @@ more details, including on how to concatenate multi-part files.
 
 | Link | Type | Size/GB | Notes |
 |:-----|:-----|--------:|:------|
+| [GGUF](https://huggingface.co/mradermacher/Yi-1.5-34B-32K-GGUF/resolve/main/Yi-1.5-34B-32K.Q2_K.gguf) | Q2_K | 12.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/Yi-1.5-34B-32K-GGUF/resolve/main/Yi-1.5-34B-32K.IQ3_XS.gguf) | IQ3_XS | 14.3 |  |
+| [GGUF](https://huggingface.co/mradermacher/Yi-1.5-34B-32K-GGUF/resolve/main/Yi-1.5-34B-32K.Q3_K_S.gguf) | Q3_K_S | 15.1 |  |
 | [GGUF](https://huggingface.co/mradermacher/Yi-1.5-34B-32K-GGUF/resolve/main/Yi-1.5-34B-32K.IQ3_S.gguf) | IQ3_S | 15.1 | beats Q3_K* |
+| [GGUF](https://huggingface.co/mradermacher/Yi-1.5-34B-32K-GGUF/resolve/main/Yi-1.5-34B-32K.IQ3_M.gguf) | IQ3_M | 15.7 |  |
+| [GGUF](https://huggingface.co/mradermacher/Yi-1.5-34B-32K-GGUF/resolve/main/Yi-1.5-34B-32K.Q3_K_M.gguf) | Q3_K_M | 16.8 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/Yi-1.5-34B-32K-GGUF/resolve/main/Yi-1.5-34B-32K.Q3_K_L.gguf) | Q3_K_L | 18.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/Yi-1.5-34B-32K-GGUF/resolve/main/Yi-1.5-34B-32K.IQ4_XS.gguf) | IQ4_XS | 18.7 |  |
 | [GGUF](https://huggingface.co/mradermacher/Yi-1.5-34B-32K-GGUF/resolve/main/Yi-1.5-34B-32K.Q4_K_S.gguf) | Q4_K_S | 19.7 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Yi-1.5-34B-32K-GGUF/resolve/main/Yi-1.5-34B-32K.Q4_K_M.gguf) | Q4_K_M | 20.8 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Yi-1.5-34B-32K-GGUF/resolve/main/Yi-1.5-34B-32K.Q5_K_S.gguf) | Q5_K_S | 23.8 |  |
+| [GGUF](https://huggingface.co/mradermacher/Yi-1.5-34B-32K-GGUF/resolve/main/Yi-1.5-34B-32K.Q5_K_M.gguf) | Q5_K_M | 24.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/Yi-1.5-34B-32K-GGUF/resolve/main/Yi-1.5-34B-32K.Q6_K.gguf) | Q6_K | 28.3 | very good quality |
 | [GGUF](https://huggingface.co/mradermacher/Yi-1.5-34B-32K-GGUF/resolve/main/Yi-1.5-34B-32K.Q8_0.gguf) | Q8_0 | 36.6 | fast, best quality |
 
 Here is a handy graph by ikawrakow comparing some lower-quality quant