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]: LongCat-Flash-Thinking-2601 still appears to be unsupported
- [Bugfix] (grpc): improve GetServerInfo response consistency and accuracy
- [RFC]: Add protection against using deprecated or incorrect environment variables
- [code clean] remove duplicated code
- [Usage]: How to enable the grpc api with vllm serve?
- [BugFix] Handle dict values in YAML config by converting to JSON in config file
- use 'max_active_experts' for moe lora input size
- replace `with torch.cuda.stream()`
- [RFC]: Support FP8 LoRA inference
- [Frontend] Add tool_choice=required support for GPT-OSS Harmony models
- Docs
- Python not yet supported