LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
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A high-performance inference engine for LLM, VLM, DiT and REC models, optimized for diverse AI accelerators. It is hosted in OpenAtom Foundation.
A high-throughput and memory-efficient inference and serving engine for LLMs
Universal LLM Deployment Engine with ML Compilation
Achieve state of the art inference performance with modern accelerators on Kubernetes
A high-performance inference engine for LLM, VLM, DiT and REC models, optimized for diverse AI accelerators.
Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM
