Update README.md

README.md

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 FP8 quantized version of [zai-org/GLM-4.7-Flash](https://huggingface.co/zai-org/GLM-4.7-Flash).
 
+**NOTE**: For optimal generation parameters, unsloth are working on finding the optimal parameters for practical use as of now. 
+They are for llama.cpp, but I'm sure they translate to vLLM as well: https://huggingface.co/unsloth/GLM-4.7-Flash-GGUF
+
 ## Quantization Details
 
 - **Method**: FP8 E4M3 per-tensor quantization with embedded scales
@@ -20,6 +23,8 @@ FP8 quantized version of [zai-org/GLM-4.7-Flash](https://huggingface.co/zai-org/
 - **Quantized size**: ~30GB (FP8)
 - **Preserved in BF16**: lm_head, embed_tokens, layernorms, router weights
 
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 ## Performance
 
 Tested on 2x RTX 3090 (24GB each) with vLLM 0.13.0: