Update README.md

README.md

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 ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6303ca537373aacccd85d8a7/LxO9j7OykuabKLYQHIodG.jpeg)
 
-* GGUF: [wolfram/miqu-1-120b-GGUF](https://huggingface.co/wolfram/miqu-1-120b-GGUF)
+* EXL2: [2.4bpw](https://huggingface.co/LoneStriker/wolfram_miqu-1-120b-2.4bpw-h6-exl2) | [2.65bpw](https://huggingface.co/LoneStriker/wolfram_miqu-1-120b-2.65bpw-h6-exl2) | [3.0bpw](https://huggingface.co/LoneStriker/wolfram_miqu-1-120b-3.0bpw-h6-exl2) | 4.0bpw | [5.0bpw](https://huggingface.co/LoneStriker/wolfram_miqu-1-120b-5.0bpw-h6-exl2)
+* GGUF: [Q2_K-Q5_K_M](https://huggingface.co/LoneStriker/wolfram_miqu-1-120b-GGUF/) | [IQ3_XXS](https://huggingface.co/wolfram/miqu-1-120b-GGUF)
+* HF FP16: [wolfram/miqu-1-120b](https://huggingface.co/wolfram/miqu-1-120b)
 
 This is a 120b frankenmerge of [miqu-1-70b](https://huggingface.co/miqudev/miqu-1-70b) created by interleaving layers of [miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf) with itself using [mergekit](https://github.com/cg123/mergekit).
 
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 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 EXL2 and GGUF quants, [Lone Striker](https://huggingface.co/LoneStriker)!
+
 ## Prompt template: Mistral
 
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