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][GDN] Capture the GDN core in breakable CUDA graphs of mixed batches (CUDA graph 2/2)
- [Bug]: pythonic and llama4_pythonic tool parsers break on a raw newline inside a string argument
- [Bug]: `vllm serve --uds <path>` cannot be restarted on the same path: the socket file is never removed, so the second start fails with `[Errno 98] Address already in use`
- [AMD][DSV4.1Flash] Quantize MoE activations to MXFP8 before the MoRI dispatch
- # [Bug]: MinTokensLogitsProcessor indexes logits with global token ids — out-of-bounds when the LM head output is TP-sharded
- [Bugfix][Sampler] Support TP-sharded logits in MinTokensLogitsProcessor
- [Bug]: vLLM EngineCore crash in native KV offloading for hybrid Attention/Mamba model
- [Docs][KV Connector] Clarify NIXL metrics aggregation
- [Bugfix] Fix decoded logprob tokens that continue a split UTF-8 character
- [ROCm][Perf] MXFP4 indexer K cache for GLM-5 / DeepSeek-V3.2 DSA
- Docs
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