Update README.md

README.md

@@ -88,11 +88,13 @@ Laguna M.1 has upstream support in vLLM, SGLang, and TRT-LLM thanks to the suppo
 
 #### vLLM
 
-The full vLLM recipe is on the main [Laguna M.1 model card](https://huggingface.co/poolside/Laguna-M.1). Quantization is detected automatically from `quantization_config` in this checkpoint, so the same command works with `poolside/Laguna-M.1-FP8` substituted for the model ID. No extra flags required.
+The full vLLM recipe is on the main [Laguna M.1 model card](https://huggingface.co/poolside/Laguna-M.1). Quantization is detected automatically from `quantization_config` in this checkpoint, so the same command works with `poolside/Laguna-M.1-FP8` substituted for the model ID. Set `VLLM_BLOCKSCALE_FP8_GEMM_FLASHINFER=0` when serving with vLLM.
 
 ```shell
 pip install 'vllm>=0.21.0'
 
+export VLLM_BLOCKSCALE_FP8_GEMM_FLASHINFER=0
+
 vllm serve \
     --model poolside/Laguna-M.1-FP8 \
     --tool-call-parser poolside_v1 \