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] Optimize Garbage Collection at Init Time
- [CI][Tests] Load each HF reference once per model in test_common.py
- [Feature]: Add ID-only request logging while preserving lifecycle events
- [CPU] Add Gloo DP/EP follow-up for wide expert parallelism
- [Bugfix][LoRA] Fold LoRA scaling in fp32 before casting lora_b to lora_dtype
- [Bugfix] Fix EVS M-RoPE recompute when a prefill chunk ends after a vision start token
- [Models][XPU] Port eager Qwen3.5 models and fuse MoE decode
- [ROCm][MoRIIO] Support PP for prefill instance in PD disaggregated serving with MoRI WRITE mode
- [ROCm][MoE] Add opt-in AITER FlyDSL clamped MXFP4 BF16 experts
- [Misc] Watermarking: read the key from a file
- Docs
- Python not yet supported