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
- [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
- [ROCm] Enable FP8 KV-cache and relax constraints for RDNA4 custom paged attention
- [Bug]: Improve `--kv-cache-dtype` behavior when checkpoint specifies `kv_cache_quant_algo`
- [Feature]: parity with cuda - ROCm Kimi K2.5 disagg PD +wideEP recipe
- [WIP][Bugfix] Wire whitespace_pattern through V1 structured output backends
- Docs
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