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
- [3/N][KV-Cache Layout Refactor] Standardize Mamba cache; drop `get_transfer_cache_regions`
- up FI fp8 moe topk to 32
- Vram semaphore infra
- [XPU] Enable v1/sample tests on XPU CI
- [Bug]: [0.22.0] When using Hidden State Extraction, if enable-prefix-caching is turned on, the length of hidden_states obtained will be inconsistent with the length of token_ids.
- [ROCm][DSv3.2] Eliminate per-decode FillFunctor launches in sparse-MLA hot loop
- [Bug]: mistral w4a16 Quantization slower than FP16
- [Bug]: mooncake+PD混部,高并发preempt,偶发服务宕机,ValueError: Counters can only be incremented by non-negative amounts
- [Profiler] Support multiple profiling windows
- [Bug]: multimodal processor cache drops audio for use_audio_in_video, causing StopIteration / HTTP 400 (Qwen3-Omni)
- Docs
- Python not yet supported