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]: CUDA graph capture crashes during startup due to Inductor autotuning torch.cuda.synchronize() inside graph capture (FULL_DECODE_ONLY + MLA + FP8) when PDL is enabled
- [AMD][CI] fix amd Basic Models Tests (Other)
- [Bugfix] Skip PP sampled-token receive on last rank during async scheduling
- [Bug]: MTP speculative decoding crash with illegal memory access on long sequences (Qwen3.6-27B-FP8, v0.19.1)
- [Core] Prevent zero-collapse deadlock in _mamba_block_aligned_split
- [Bug]: runai_streamer loads both Ministral consolidated and HF sharded safetensors
- [Core] Fix Run:ai streamer loading for Mistral-format safetensors
- [Bug]: [MiniMax] Function call content is not streamed incrementally; buffered until generation completes
- [Tracing] Add cache read tokens, finish reasons, and new standard OTel attributes
- [Feature]: Deepseek V4 cannot run ,Please support SM120 GPU,example rtx5090 rtxpro6000
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