vLLM enables native-speed inference for Hugging Face Transformers models
July 13, 2026
vLLM now supports Hugging Face Transformers architectures directly, eliminating the need for separate optimized implementations. Benchmarks show the Transformers backend matches or exceeds native vLLM throughput for models ranging from 4B to 235B parameters, including MoE and tensor parallel configurations.
HOW THIS AFFECTS YOU
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builderYou can deploy new architectures to production via vLLM immediately after training without waiting for custom kernels.
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researcherYou can maintain a single codebase for both research and high-throughput production inference.