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
- [MoE][Offload] Run MoE models exceeding VRAM via expert CPU offloading with GPU cache (--moe-expert-cache-size)
- [Doc] Fix outdated method name in fused_moe_modular_kernel design doc
- [Usage]: CUDA error: the provided PTX was compiled with an unsupported toolchain.
- Add the option to turn on hipBLASLt online tuning
- [Bugfix][Model] Fix Qwen3-Omni crash with use_audio_in_video=True during profiling
- [Bugfix] Fix harmony streaming tool call crash and argument splitting
- [Feature]:
- [Bug]: Potential use-after-free in KV block allocator under eviction pressure
- [Feature][Cleanup]: Optimize token data structures (list[int] to numpy arrays)
- Core Engine: Weight Loading Cleanup - Standardize load_weights API
- Docs
- Python not yet supported