auto-patch README.md

README.md

@@ -18,7 +18,7 @@ tags:
 static quants of https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf
 
 <!-- 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-7b-Instruct-hf-i1-GGUF
 ## Usage
 
 If you are unsure how to use GGUF files, refer to one of [TheBloke's
@@ -32,8 +32,18 @@ more details, including on how to concatenate multi-part files.
 | Link | Type | Size/GB | Notes |
 |:-----|:-----|--------:|:------|
 | [GGUF](https://huggingface.co/mradermacher/CodeLlama-7b-Instruct-hf-GGUF/resolve/main/CodeLlama-7b-Instruct-hf.Q2_K.gguf) | Q2_K | 2.6 |  |
+| [GGUF](https://huggingface.co/mradermacher/CodeLlama-7b-Instruct-hf-GGUF/resolve/main/CodeLlama-7b-Instruct-hf.IQ3_XS.gguf) | IQ3_XS | 2.9 |  |
 | [GGUF](https://huggingface.co/mradermacher/CodeLlama-7b-Instruct-hf-GGUF/resolve/main/CodeLlama-7b-Instruct-hf.IQ3_S.gguf) | IQ3_S | 3.0 | beats Q3_K* |
+| [GGUF](https://huggingface.co/mradermacher/CodeLlama-7b-Instruct-hf-GGUF/resolve/main/CodeLlama-7b-Instruct-hf.Q3_K_S.gguf) | Q3_K_S | 3.0 |  |
+| [GGUF](https://huggingface.co/mradermacher/CodeLlama-7b-Instruct-hf-GGUF/resolve/main/CodeLlama-7b-Instruct-hf.IQ3_M.gguf) | IQ3_M | 3.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/CodeLlama-7b-Instruct-hf-GGUF/resolve/main/CodeLlama-7b-Instruct-hf.Q3_K_M.gguf) | Q3_K_M | 3.4 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/CodeLlama-7b-Instruct-hf-GGUF/resolve/main/CodeLlama-7b-Instruct-hf.Q3_K_L.gguf) | Q3_K_L | 3.7 |  |
+| [GGUF](https://huggingface.co/mradermacher/CodeLlama-7b-Instruct-hf-GGUF/resolve/main/CodeLlama-7b-Instruct-hf.IQ4_XS.gguf) | IQ4_XS | 3.7 |  |
 | [GGUF](https://huggingface.co/mradermacher/CodeLlama-7b-Instruct-hf-GGUF/resolve/main/CodeLlama-7b-Instruct-hf.Q4_K_S.gguf) | Q4_K_S | 4.0 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/CodeLlama-7b-Instruct-hf-GGUF/resolve/main/CodeLlama-7b-Instruct-hf.Q4_K_M.gguf) | Q4_K_M | 4.2 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/CodeLlama-7b-Instruct-hf-GGUF/resolve/main/CodeLlama-7b-Instruct-hf.Q5_K_S.gguf) | Q5_K_S | 4.8 |  |
+| [GGUF](https://huggingface.co/mradermacher/CodeLlama-7b-Instruct-hf-GGUF/resolve/main/CodeLlama-7b-Instruct-hf.Q5_K_M.gguf) | Q5_K_M | 4.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/CodeLlama-7b-Instruct-hf-GGUF/resolve/main/CodeLlama-7b-Instruct-hf.Q6_K.gguf) | Q6_K | 5.6 | very good quality |
 | [GGUF](https://huggingface.co/mradermacher/CodeLlama-7b-Instruct-hf-GGUF/resolve/main/CodeLlama-7b-Instruct-hf.Q8_0.gguf) | Q8_0 | 7.3 | fast, best quality |
 
 Here is a handy graph by ikawrakow comparing some lower-quality quant