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]: Engine core livelock (100% CPU, no crash) with MTP speculative decoding + xgrammar structured outputs - regression from v0.24.0
- [BugFix] Dense multinode DP rescope with regression test
- [Bug]: Speculative decoding with a hybrid draft model (LFM2/LFM2.5 short_conv) fails — drafter requires all draft layers in one KV cache group
- [Bugfix] Recover DSML tool calls when the start wrapper token is missing
- [Perf] Shape-adaptive tile config for batch-invariant matmul on SM80
- [Bugfix][Spec Decode] DSpark: build draft under its own model/quant config (NVFP4 target corrupts MXFP4 draft experts)
- [Bugfix][Kernel] Fix persistent top-k histogram reuse after short rows
- [Reload] Dual-mode graph storage for CUDA graph tensor identity
- [Bugfix] Prevent stale partial prefix cache hashes
- [Perf] Avoid per-step pinned staging allocation in apply_grammar_bitmask
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