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
- [Bug]: NIXL Disagg Does Not Support GDN Attention (Qwen3.5 Hybrid)
- [Bug]: Pipeline Parallelism Blocked on V1 Engine (Multi-Node PP)
- PD disagg with NIXL Connector: GDN support (Qwen3.5)
- fix: route voyage qwen3 bidirectional models to correct vLLM class
- [EPLB] Simplify move_to_buffer() by decomposing into helper functions
- [Refactor][vLLM IR]: Replace hardcoded IrOpPriorityConfig fields with dynamic priorities dict
- [RFC]: Add unified Pod Snapshot API to support automatic cloud provider checkpoints
- Fix FP8 KV wake-up for nested KV cache containers
- [Bug]: Qwen3OmniMoeThinkerForConditionalGeneration does not support LoRA yet
- [Bug]: `collect_env.py` crashes on non-Linux platforms (macOS/Windows) due to unconditional assert in `get_pkg_version`
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