Hugging Face Transformers Backend for vLLM Achieves Native Performance
The integration of Hugging Face Transformers as a modeling backend in vLLM now matches or exceeds native vLLM throughput across various Qwen3 models, including dense and mixture-of-experts architectures, without requiring custom porting. This is achieved through dynamic layer fusions at runtime using torch.fx and AST manipulation, allowing any compatible model to run at native speed with a single flag.
Hugging Face
Hugging Face blog27.07 · 04:05



