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Native-speed vLLM transformers modeling backend

TL;DR AI

Key summary

2 min read
  1. vLLM says its upgraded transformers backend can now match or beat many hand-written native vLLM implementations on several Qwen3 setups.

  2. A single flag lets Hugging Face models run in vLLM while still using its parallelism and inference optimizations.

  3. The result lowers the need for custom vLLM model ports and makes high-performance serving easier for more architectures.

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