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
- [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
- [Feature]: TTL-based Eviction for KV Cache Blocks
- [Perf][CPU][DiffusionGemma] Run one-step DiffusionGemma reads in a single forward pass
- [ROCm][Perf][Kimi-K3] Mono decode layer for Kimi-K3 on MI355X w/ vanilla decode
- [Bugfix][NIXL] Report failed pulls per request with several KV cache groups
- Docs
- Python not yet supported