vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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Help out
- Issues
- [Bugfix][Kimi-K3] Refuse --use-replayssm without spec decode at config time
- [Bugfix][DeepSeek V4.1] Keep the vision tower across a config round-trip
- [Perf][ROCm][Kimi-K3] Fuse all-reduce with RMSNorm in latent-MoE
- [Bugfix][Determinism] Refuse batch-invariant mode on the sparse indexer
- [KV Offload] Let unfinished requests keep the chunks they will resume from
- [Core][KVConnector] Keep the offloaded KV tier across pause/sleep
- [Frontend] Consolidate rlhf entrypoints.
- [Bugfix][LoRA] Skip None weights when detecting LoRA device
- [Pooling] Register pooling routes for the selected task
- [Bugfix][Frontend] Keep the trailing parameter when qwen3 closes the function without it
- Docs
- Python not yet supported