auto-patch README.md

README.md

@@ -30,7 +30,14 @@ more details, including on how to concatenate multi-part files.
 | Link | Type | Size/GB | Notes |
 |:-----|:-----|--------:|:------|
 | [GGUF](https://huggingface.co/mradermacher/gemma_coder_9b-GGUF/resolve/main/gemma_coder_9b.Q2_K.gguf) | Q2_K | 3.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/gemma_coder_9b-GGUF/resolve/main/gemma_coder_9b.Q3_K_S.gguf) | Q3_K_S | 4.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/gemma_coder_9b-GGUF/resolve/main/gemma_coder_9b.Q3_K_M.gguf) | Q3_K_M | 4.9 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/gemma_coder_9b-GGUF/resolve/main/gemma_coder_9b.Q3_K_L.gguf) | Q3_K_L | 5.2 |  |
 | [GGUF](https://huggingface.co/mradermacher/gemma_coder_9b-GGUF/resolve/main/gemma_coder_9b.Q4_K_S.gguf) | Q4_K_S | 5.6 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/gemma_coder_9b-GGUF/resolve/main/gemma_coder_9b.Q4_K_M.gguf) | Q4_K_M | 5.9 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/gemma_coder_9b-GGUF/resolve/main/gemma_coder_9b.Q6_K.gguf) | Q6_K | 7.7 | very good quality |
+| [GGUF](https://huggingface.co/mradermacher/gemma_coder_9b-GGUF/resolve/main/gemma_coder_9b.Q8_0.gguf) | Q8_0 | 9.9 | fast, best quality |
+| [GGUF](https://huggingface.co/mradermacher/gemma_coder_9b-GGUF/resolve/main/gemma_coder_9b.f16.gguf) | f16 | 18.6 | 16 bpw, overkill |
 
 Here is a handy graph by ikawrakow comparing some lower-quality quant
 types (lower is better):