Update README.md

README.md

@@ -18,7 +18,12 @@ While role-play was the main focus of this merge, its base capabilities weren't
 Unfortunately, I can't compare it with 70B models because they're too slow on my machine, but this is the best sub-70B model I have used so far; I haven't felt the need to regenerate any responses, which hasn't happened with any other model. This is my first attempt at any kind of merge, and I want to share what I've learned, but this section is already longer than I wanted, so I've decided to place the rest at the bottom of the page.
 
 # Quantization Formats
-- **GGUF**: https://huggingface.co/HiroseKoichi/Llama-Salad-4x8B-GGUF
+**GGUF**
+- Static:
+    - https://huggingface.co/HiroseKoichi/Llama-Salad-4x8B-GGUF
+    - https://huggingface.co/mradermacher/Llama-Salad-4x8B-GGUF
+- Imatrix:
+    - https://huggingface.co/mradermacher/Llama-Salad-4x8B-i1-GGUF
 
 # Details
 - **License**: [llama3](https://llama.meta.com/llama3/license/)