Native-speed vLLM transformers modeling backend
First reported · 4mo ago · 1 source
Crest summary — written by AI from the 1 source below; every figure is checked against them · model deepseek-chat
Summary
Hugging Face introduced a native-speed vLLM transformers modeling backend on 2026-07-08, letting transformer models run through vLLM without a separate conversion step.
Key facts
- Hugging Face announced the backend on 2026-07-08.
- The backend is called the native-speed vLLM transformers modeling backend.
- It targets transformer models served through vLLM.
Why it matters
Teams serving transformer models through vLLM may be able to keep existing Hugging Face model definitions instead of maintaining a separate conversion path, which can simplify deployment and reduce duplicated work.
Companies
Technologies
Related on Crest
Matched by rule, not by AI: a repository linked in the coverage, or a technology or company in this event that Crest tracks.
Repositories
- huggingface/transformers🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. Matches a named technology
- huggingface/sentence-transformersState-of-the-Art Embeddings, Retrieval, and RerankingA named company’s project
- huggingface/transformers.jsState-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!A named company’s project
- vllm-project/vllmA high-throughput and memory-efficient inference and serving engine for LLMsMatches a named technology
Original sources (1)
The report this event was built from. Crest of Tech keeps no article bodies: the full text is at each source.
- Hugging FaceOfficial · PrimaryNative-speed vLLM transformers modeling backendRead at Hugging Face