AI BriefingSGLang integrates Transformers backend
Key point
SGLang now supports the Transformers backend, enabling high-performance inference for any Transformers-compatible model.
Details
SGLang has begun supporting Hugging Face Transformers as a backend. This allows models not natively supported by SGLang to be run immediately on the high-performance inference engine via the Transformers library.
This integration combines the flexibility of Transformers with the inference performance of SGLang. Users can leverage SGLang's memory-efficient mechanisms such as RadixAttention while deploying the latest models or custom models from the Hugging Face Hub right away, without additional engineering work.
Key Features and Usage:
- Automatic Fallback: When SGLang detects a model it does not natively support, it automatically switches to the Transformers implementation.
- Custom Model Support: With the
trust_remote_code=Truesetting, a wide variety of custom models from Hugging Face can be used immediately. - Simple Configuration: Specify the
impl="transformers"parameter when creatingsgl.Engineto use this feature.
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