Update README.md

Thanks for the additional quants, [DAN™](https://huggingface.co/dranger003)!

README.md

@@ -18,7 +18,7 @@ tags:
 ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6303ca537373aacccd85d8a7/vmCAhJCpF0dITtCVxlYET.jpeg)
 
 - HF: [wolfram/miquliz-120b-v2.0](https://huggingface.co/wolfram/miquliz-120b-v2.0)
-- GGUF: [Q2_K | IQ3_XXS | Q4_K_M | Q5_K_M](https://huggingface.co/wolfram/miquliz-120b-v2.0-GGUF)
+- GGUF: [IQ2_XS | IQ2_XXS | IQ3_XXS](https://huggingface.co/dranger003/miquliz-120b-v2.0-iMat.GGUF) | [Q2_K | IQ3_XXS | Q4_K_M | Q5_K_M](https://huggingface.co/wolfram/miquliz-120b-v2.0-GGUF) | [Q8_0](https://huggingface.co/dranger003/miquliz-120b-v2.0-iMat.GGUF)
 - EXL2: [2.4bpw](https://huggingface.co/wolfram/miquliz-120b-v2.0-2.4bpw-h6-exl2) | [2.65bpw](https://huggingface.co/wolfram/miquliz-120b-v2.0-2.65bpw-h6-exl2) | [3.0bpw](https://huggingface.co/wolfram/miquliz-120b-v2.0-3.0bpw-h6-exl2) | 3.5bpw | [4.0bpw](https://huggingface.co/wolfram/miquliz-120b-v2.0-4.0bpw-h6-exl2) | [5.0bpw](https://huggingface.co/wolfram/miquliz-120b-v2.0-5.0bpw-h6-exl2)
   - **Max Context w/ 48 GB VRAM:** (24 GB VRAM is not enough, even for 2.4bpw, use [GGUF](https://huggingface.co/wolfram/miquliz-120b-v2.0-GGUF) instead!)
     - **2.4bpw:** 32K (32768 tokens) w/ 8-bit cache, 21K (21504 tokens) w/o 8-bit cache
@@ -31,6 +31,8 @@ Inspired by [goliath-120b](https://huggingface.co/alpindale/goliath-120b).
 
 Thanks for the support, [CopilotKit](https://github.com/CopilotKit/CopilotKit) – the open-source platform for building in-app AI Copilots into any product, with any LLM model. Check out their GitHub.
 
+Thanks for the additional quants, [DAN™](https://huggingface.co/dranger003)!
+
 Also available: [miqu-1-120b](https://huggingface.co/wolfram/miqu-1-120b) – Miquliz's older, purer sister; only Miqu, inflated to 120B.
 
 ## Model Details