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ProductsHugging Face BlogFrom the source·· 2026-07-08Picks

Hugging Face brings vLLM's Transformers modeling backend to native speed

Native-speed vLLM transformers modeling backend

What happened

Hugging Face says vLLM's Transformers modeling backend now matches or exceeds the throughput of vLLM's hand-written native implementations across several LLM architectures. The backend uses torch.fx for static-graph analysis and ast-based source rewriting to fuse inference-specific operators dynamically at runtime, matching the speed of custom implementations.

Why it matters

The article gives concrete architectures and configuration details for matching native performance with the Transformers backend in vLLM, helping readers assess migration costs.

Hugging FaceOpen sourceDeployment engineeringProduct updates#Product update#Deployment and engineering#Open-source ecosystem#Hugging Face

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