auto-patch README.md

README.md

@@ -18,7 +18,7 @@ tags:
 static quants of https://huggingface.co/YOYO-AI/Qwen2.5-Coder-7B-YOYO
 
 <!-- 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/Qwen2.5-Coder-7B-YOYO-i1-GGUF
 ## Usage
 
 If you are unsure how to use GGUF files, refer to one of [TheBloke's
@@ -32,6 +32,17 @@ more details, including on how to concatenate multi-part files.
 | Link | Type | Size/GB | Notes |
 |:-----|:-----|--------:|:------|
 | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Coder-7B-YOYO-GGUF/resolve/main/Qwen2.5-Coder-7B-YOYO.Q2_K.gguf) | Q2_K | 3.1 |  |
+| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Coder-7B-YOYO-GGUF/resolve/main/Qwen2.5-Coder-7B-YOYO.Q3_K_S.gguf) | Q3_K_S | 3.6 |  |
+| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Coder-7B-YOYO-GGUF/resolve/main/Qwen2.5-Coder-7B-YOYO.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Coder-7B-YOYO-GGUF/resolve/main/Qwen2.5-Coder-7B-YOYO.Q3_K_L.gguf) | Q3_K_L | 4.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Coder-7B-YOYO-GGUF/resolve/main/Qwen2.5-Coder-7B-YOYO.IQ4_XS.gguf) | IQ4_XS | 4.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Coder-7B-YOYO-GGUF/resolve/main/Qwen2.5-Coder-7B-YOYO.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Coder-7B-YOYO-GGUF/resolve/main/Qwen2.5-Coder-7B-YOYO.Q4_K_M.gguf) | Q4_K_M | 4.8 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Coder-7B-YOYO-GGUF/resolve/main/Qwen2.5-Coder-7B-YOYO.Q5_K_S.gguf) | Q5_K_S | 5.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Coder-7B-YOYO-GGUF/resolve/main/Qwen2.5-Coder-7B-YOYO.Q5_K_M.gguf) | Q5_K_M | 5.5 |  |
+| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Coder-7B-YOYO-GGUF/resolve/main/Qwen2.5-Coder-7B-YOYO.Q6_K.gguf) | Q6_K | 6.4 | very good quality |
+| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Coder-7B-YOYO-GGUF/resolve/main/Qwen2.5-Coder-7B-YOYO.Q8_0.gguf) | Q8_0 | 8.2 | fast, best quality |
+| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Coder-7B-YOYO-GGUF/resolve/main/Qwen2.5-Coder-7B-YOYO.f16.gguf) | f16 | 15.3 | 16 bpw, overkill |
 
 Here is a handy graph by ikawrakow comparing some lower-quality quant
 types (lower is better):