vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- [Feature]: Reduce LoRA latency via speculative decoding
- [Installation]: What is required for wheels to build?
- [Bug]: Prefix Caching in BlockSpaceManagerV1 and BlockSpaceManagerV2 Increases Time to First Token(TTFT) and Slows Down System
- [Feature]: Support rerank models
- [Performance]: Performance degrades severely with long input
- [Performance]: Mode/flag/option to maximize throughput while allowing large latency?
- Removes duplicate outlines processors
- [Bug]: JSON-guided generation failing to close text values
- [Bugfix] Support Rank Stabilized LoRA (RSLoRA)
- [RFC]: Asynchronous Output Processor
- Docs
- Python not yet supported