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
- [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
- [Performance] [Speculative decoding]: Compute prepare inputs of the scoring model on GPU
- why our performance so low when compare with sglang(https://github.com/sgl-project/sglang?tab=readme-ov-file#benchmark-and-performance)
- Docs
- Python not yet supported