ray-llm
Facilitate large language model deployment with Ray Serve by leveraging vLLM improvements to simplify workflow and reduce complexity. Access comprehensive documentation and examples to deploy models with ease, avoiding additional library intricacies. Experience features such as multi-lora, serve multiplexing, and JSON mode function calls, enhancing LLM performance and scalability across multi-node deployments. Utilize Hosted Anyscale for seamless operations, promoting efficient and cost-effective model management in varied deployment environments.
