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
- fix: replace fatal assertions with MultiModalCacheMissError in MM cache
- [Bug][Spec Decode] Fix AR metrics when drafting is skipped
- [Performance]: Remove `batch_size` and `max_seq_len` padding when cuDNN is upgraded to 9.19
- [WIP] Add Warmup to `vllm bench throughput`
- [Core] Avoid second per-step worker RPC when not needed
- [Feature]: Support structured outputs for beam search
- [CI Failure]: v1/e2e/test_spec_decode.py::test_eagle_correctness
- [WIP][Bugfix] Fix SIGILL crash on CPU-only systems during model inspection
- feat(frontend): support --tool-call-parser=auto for automatic parser detection
- [ROCm] Use supports_fp8() for FP8 feature gates instead of arch checks
- Docs
- Python not yet supported