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
- fix(rust/chat): accept latest_reminder role in DeepSeek V4/V4.1 renderer
- [Bugfix] Keep the --tokenizer chat template for multimodal models
- [Perf][Structured Output] Parallel guidance bitmask fill: 15% faster decode at batch 64
- [MoE] Support REAP-pruned and MoNE checkpoints with non-uniform per-layer expert counts
- [Perf][Kernel] Tune fused mHC post + pre-norm for SM90 at up to 8 tokens
- [Bugfix][Mamba] Warm up V1 align state copies and ShortConv prefill
- [Security] Defer diffusion prompt scores until output
- [Bugfix][KV Connector] Fail startup when the NIXL listener cannot bind
- [CI] Shard LM eval, MoE kernels and multimodal pooling automatically
- [CI] Shard KV offload, draft decoding, Qwen eval, elastic EP and scheduling automatically
- Docs
- Python not yet supported