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
- [Prototype] Add Helion kernels as vLLM IR op implementations
- [Don't Merge] Test CI with InstantTensor as default load format
- [Core] Cache PostGradPassManager.uuid by compile_range
- [Feature]: Expose Word-Level Timestamps in `/v1/realtime` API for Voxtral Realtime
- [Bug]: max-num-partial-prefills failes on V1 engine start
- [Performance]: Significant TTFT Regression with Speculative Decoding (EAGLE3)
- [Bug]: Gemma4 LoRA adapters zeroed out
- [ROCm][DX] Clarify collect_env ROCm reporting
- [ROCm][MLA] validate AITER head counts during selection
- [RFC]: Unifying Tool Calling via Region-Scoped Guided Decoding, Tool-Aware Grammars, and Related Parsers
- Docs
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