Big unlock for open-source AI inference: Hugging Face Transformers models can now run in vLLM at native speed, often matching or beating hand-written implementations. Until now, every new architecture often needed to be built twice: - Once in Transformers for training and research - Again in vLLM f
@clementdelangue·Jul 13, 2026·2 sources·positive
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Hugging Face Transformers models can now run natively in vLLM at competitive speeds, eliminating the need for separate inference implementations.
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Big unlock for open-source AI inference: Hugging Face Transformers models can now run in vLLM at native speed, often matching or beating hand-written implementations. Until now, every new architecture often needed to be built twice: - Once in Transformers for training and research - Again in vLLM f
@clementdelangue
Jul 13, 2026
Big unlock for open-source AI inference: Hugging Face Transformers models can now run in vLLM at native speed, often matching or beating hand-written implementations. Until now, every new architecture often needed to be built twice: - Once in Transformers for training and research - Again in vLLM f
@clementdelangue
Jul 13, 2026