vLLM Transformers Backend: Bridging Hugging Face Compatibility and High-Performance Inference
中文摘要
vLLM推出Transformers后端，旨在结合Hugging Face兼容性与高性能推理，缩小新架构发布与高效推理支持之间的差距。
English Summary
vLLM's new Transformers backend bridges the gap between Hugging Face compatibility and high-performance inference, enabling faster deployment of new open-source model architectures.
原文节选
The rapid pace of open-source AI development often creates a gap between the release of a new architecture and its availability in… Continue reading on Medium »