auto-patch README.md

README.md

@@ -22,7 +22,7 @@ tags:
 static quants of https://huggingface.co/nasiruddin15/Mistral-grok-instract-2-7B-slerp
 
 <!-- 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/Mistral-grok-instract-2-7B-slerp-i1-GGUF
 ## Usage
 
 If you are unsure how to use GGUF files, refer to one of [TheBloke's
@@ -38,7 +38,15 @@ more details, including on how to concatenate multi-part files.
 | [GGUF](https://huggingface.co/mradermacher/Mistral-grok-instract-2-7B-slerp-GGUF/resolve/main/Mistral-grok-instract-2-7B-slerp.Q2_K.gguf) | Q2_K | 2.8 |  |
 | [GGUF](https://huggingface.co/mradermacher/Mistral-grok-instract-2-7B-slerp-GGUF/resolve/main/Mistral-grok-instract-2-7B-slerp.Q3_K_S.gguf) | Q3_K_S | 3.3 |  |
 | [GGUF](https://huggingface.co/mradermacher/Mistral-grok-instract-2-7B-slerp-GGUF/resolve/main/Mistral-grok-instract-2-7B-slerp.Q3_K_M.gguf) | Q3_K_M | 3.6 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/Mistral-grok-instract-2-7B-slerp-GGUF/resolve/main/Mistral-grok-instract-2-7B-slerp.Q3_K_L.gguf) | Q3_K_L | 3.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/Mistral-grok-instract-2-7B-slerp-GGUF/resolve/main/Mistral-grok-instract-2-7B-slerp.IQ4_XS.gguf) | IQ4_XS | 4.0 |  |
 | [GGUF](https://huggingface.co/mradermacher/Mistral-grok-instract-2-7B-slerp-GGUF/resolve/main/Mistral-grok-instract-2-7B-slerp.Q4_K_S.gguf) | Q4_K_S | 4.2 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Mistral-grok-instract-2-7B-slerp-GGUF/resolve/main/Mistral-grok-instract-2-7B-slerp.Q4_K_M.gguf) | Q4_K_M | 4.5 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Mistral-grok-instract-2-7B-slerp-GGUF/resolve/main/Mistral-grok-instract-2-7B-slerp.Q5_K_S.gguf) | Q5_K_S | 5.1 |  |
+| [GGUF](https://huggingface.co/mradermacher/Mistral-grok-instract-2-7B-slerp-GGUF/resolve/main/Mistral-grok-instract-2-7B-slerp.Q5_K_M.gguf) | Q5_K_M | 5.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/Mistral-grok-instract-2-7B-slerp-GGUF/resolve/main/Mistral-grok-instract-2-7B-slerp.Q6_K.gguf) | Q6_K | 6.0 | very good quality |
+| [GGUF](https://huggingface.co/mradermacher/Mistral-grok-instract-2-7B-slerp-GGUF/resolve/main/Mistral-grok-instract-2-7B-slerp.Q8_0.gguf) | Q8_0 | 7.8 | fast, best quality |
+| [GGUF](https://huggingface.co/mradermacher/Mistral-grok-instract-2-7B-slerp-GGUF/resolve/main/Mistral-grok-instract-2-7B-slerp.f16.gguf) | f16 | 14.6 | 16 bpw, overkill |
 
 Here is a handy graph by ikawrakow comparing some lower-quality quant
 types (lower is better):