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
- [REFACTOR][Triton] Per-token-head: first-chunk fast-path, mixed batch split, fused K+V, dedicated decode kernel
- [Quantization] Add TurboQuant online weight compression (Linear-only)
- [Don't Merge] Test CI with InstantTensor as default load format
- Gibberish with flashinfer_nvlink_two_sided on GB200/arm64
- [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
- [Bug]: CVE-2026-1839 requires transformers update
- Bump model-hosting-container-standards to >= 0.1.14
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