auto-patch README.md

README.md

@@ -20,7 +20,7 @@ tags:
 static quants of https://huggingface.co/prithivMLmods/Open-R1-Mini-Experimental
 
 <!-- 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/Open-R1-Mini-Experimental-i1-GGUF
 ## Usage
 
 If you are unsure how to use GGUF files, refer to one of [TheBloke's
@@ -33,7 +33,19 @@ more details, including on how to concatenate multi-part files.
 
 | Link | Type | Size/GB | Notes |
 |:-----|:-----|--------:|:------|
+| [GGUF](https://huggingface.co/mradermacher/Open-R1-Mini-Experimental-GGUF/resolve/main/Open-R1-Mini-Experimental.Q2_K.gguf) | Q2_K | 0.8 |  |
+| [GGUF](https://huggingface.co/mradermacher/Open-R1-Mini-Experimental-GGUF/resolve/main/Open-R1-Mini-Experimental.Q3_K_S.gguf) | Q3_K_S | 0.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/Open-R1-Mini-Experimental-GGUF/resolve/main/Open-R1-Mini-Experimental.Q3_K_M.gguf) | Q3_K_M | 0.9 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/Open-R1-Mini-Experimental-GGUF/resolve/main/Open-R1-Mini-Experimental.Q3_K_L.gguf) | Q3_K_L | 1.0 |  |
+| [GGUF](https://huggingface.co/mradermacher/Open-R1-Mini-Experimental-GGUF/resolve/main/Open-R1-Mini-Experimental.IQ4_XS.gguf) | IQ4_XS | 1.0 |  |
+| [GGUF](https://huggingface.co/mradermacher/Open-R1-Mini-Experimental-GGUF/resolve/main/Open-R1-Mini-Experimental.Q4_K_S.gguf) | Q4_K_S | 1.0 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Open-R1-Mini-Experimental-GGUF/resolve/main/Open-R1-Mini-Experimental.Q4_K_M.gguf) | Q4_K_M | 1.1 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Open-R1-Mini-Experimental-GGUF/resolve/main/Open-R1-Mini-Experimental.Q5_K_S.gguf) | Q5_K_S | 1.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/Open-R1-Mini-Experimental-GGUF/resolve/main/Open-R1-Mini-Experimental.Q5_K_M.gguf) | Q5_K_M | 1.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/Open-R1-Mini-Experimental-GGUF/resolve/main/Open-R1-Mini-Experimental.Q6_K.gguf) | Q6_K | 1.4 | very good quality |
 | [GGUF](https://huggingface.co/mradermacher/Open-R1-Mini-Experimental-GGUF/resolve/main/Open-R1-Mini-Experimental.mmproj-fp16.gguf) | mmproj-fp16 | 1.4 | vision supplement |
+| [GGUF](https://huggingface.co/mradermacher/Open-R1-Mini-Experimental-GGUF/resolve/main/Open-R1-Mini-Experimental.Q8_0.gguf) | Q8_0 | 1.7 | fast, best quality |
+| [GGUF](https://huggingface.co/mradermacher/Open-R1-Mini-Experimental-GGUF/resolve/main/Open-R1-Mini-Experimental.f16.gguf) | f16 | 3.2 | 16 bpw, overkill |
 
 Here is a handy graph by ikawrakow comparing some lower-quality quant
 types (lower is better):