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]: nvfp4 reshape_and_cache_flash assumes NHD layout — silently mis-swizzles HND caches when num_kv_heads % 4 == 0
- [Perf] ~2x decode throughput regression for structured outputs since #45424: apply_grammar_bitmask staging rewrite (bisected to commit, file, and hunk)
- [Bugfix] Isolate scoring preprocessing from renderer executor
- [Doc] Add stream tracker middleware example for live per-request visibility
- fix(v1): avoid false shutdown failures on clean exit
- fix: handle missing parent modules in _has_module
- [Perf] Add per-phase cold-start startup span benchmark harness
- Make `load_weights` completely optional
- fix(step3p5-mtp): honor exclude_modules for the MTP head via prefix
- [Kernel][Helion] Retune grouped quant schedules
- Docs
- Python not yet supported