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
- [Model] Support Unlimited OCR
- [KV Connector] Multi-view NIXL connector
- enable humming wNaM inference for N=[23567] M=[48]
- [Bugfix][Spec Decode] Disable dynamic speculative decoding for fixed-K proposers instead of crashing
- [Bug]: Hybrid Mamba PD-disagg under pipeline-parallel (PP>1) emits degenerate output — FullAttention region_group_ids collapse to the Mamba group under HMA
- [Test] Add MoE dtype asserts for hidden states and logits
- [XPU] Optimize XPU worker shutdown logic to prevent resource leak
- [ROCm][CI] Enable modular OAI Triton MoE tests
- [RFC]: `nccl-m2n` for sharding-aware weight transfer in vLLM RL
- Bump actions/checkout from 6.0.1 to 7.0.0
- Docs
- Python not yet supported