LMDeploy in AI answers

LMDeploy is a toolkit for compressing, deploying, and serving large language models (LLMs) and vision-language models across multi-model services. It offers efficient inference with up to 1.8x higher throughput than vLLM, enabled by persistent batching, blocked KV cache, dynamic split/fuse, tensor parallelism, and high-performance CUDA kernels; it also supports weight-only and KV quantization, with 4-bit inference delivering about 2.4x speedups over FP16. LMDeploy provides a request-distribution server for easy multi-machine deployment and emphasizes compatibility with KV Cache Quant, AWQ, and automatic prefix caching.