auto-patch README.md

README.md

@@ -175,7 +175,7 @@ tags:
 static quants of https://huggingface.co/huihui-ai/CodeLlama-13b-Instruct-hf-abliterated
 
 <!-- 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/CodeLlama-13b-Instruct-hf-abliterated-i1-GGUF
 ## Usage
 
 If you are unsure how to use GGUF files, refer to one of [TheBloke's
@@ -191,7 +191,14 @@ more details, including on how to concatenate multi-part files.
 | [GGUF](https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.Q2_K.gguf) | Q2_K | 5.0 |  |
 | [GGUF](https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.Q3_K_S.gguf) | Q3_K_S | 5.8 |  |
 | [GGUF](https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.Q3_K_M.gguf) | Q3_K_M | 6.4 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.Q3_K_L.gguf) | Q3_K_L | 7.0 |  |
+| [GGUF](https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.IQ4_XS.gguf) | IQ4_XS | 7.1 |  |
 | [GGUF](https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.Q4_K_S.gguf) | Q4_K_S | 7.5 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.Q4_K_M.gguf) | Q4_K_M | 8.0 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.Q5_K_S.gguf) | Q5_K_S | 9.1 |  |
+| [GGUF](https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.Q5_K_M.gguf) | Q5_K_M | 9.3 |  |
+| [GGUF](https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.Q6_K.gguf) | Q6_K | 10.8 | very good quality |
+| [GGUF](https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.Q8_0.gguf) | Q8_0 | 13.9 | fast, best quality |
 
 Here is a handy graph by ikawrakow comparing some lower-quality quant
 types (lower is better):