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
- [Bugfix] V1: skip non-local layers in get_attn_backends_for_group under PP
- [Bugfix] V1: support tuple model outputs in ubatch wrapper (dbo + spec decode)
- [Bug]: Workspace allocation failure when combining Decode Context Parallelism (DCP) with EAGLE3 speculative decoding
- [Bug]: Title: DeepSeek V4 intermittently leaks DSML fragments in auto + streaming mode, causing unstable tool-call parsing
- [Feature]: Support DDTree speculative decoding
- [Bug]: The size of tensor a (34) must match the size of tensor b (63) at non-singleton dimension 1
- [Feature]: Make opencv-python-headless an optional dependency for FIPS compliance
- [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
- Docs
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