Update README.md

README.md

@@ -111,8 +111,6 @@ For convenience and performance, we have provided `fp8`-quantized model checkpoi
 
 You can use the Qwen3-32B-FP8 model with serveral inference frameworks, including `transformers`, `sglang`, and `vllm`, as the original bfloat16 model.
 However, please pay attention to the following known issues:
-- `transformers`:
-    - there are currently issues with the "fine-grained fp8" method in `transformers` for distributed inference. You may need to set the environment variable `CUDA_LAUNCH_BLOCKING=1` if multiple devices are used in inference.
 
 ## Switching Between Thinking and Non-Thinking Mode