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]: Per-Request Timing Headers (--enable-request-stats-headers)
- [RFC]: Add Mooncake Store Connector for Shared KV Cache Reuse
- fix(p2p_nccl): free KV recv_store entries immediately to prevent OOM (#38472)
- [Bug]: There should be flag/setting to collect environment
- [Bug]: NemotronH Super 120B crashes mid-decode when two vLLM instances run concurrently on AGX Thor unified memory
- [Kernels][MoE] Fix legacy_routing to use bitmatrix-based routing path
- [Feature]: For small setup max-model-len auto doesn't make sens
- feat: DNS-AID SVCB endpoint capability advertisement
- [Bug]: vLLM crashed when working with CPU offloading
- [Bug]: LoRA loading fails for Qwen 3.5 MoE (35b-A3b) due to expert module name mismatch
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- Python not yet supported