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
- [RFC]: Pluggable structured-output backends + GRID as a third contract point (declared outcomes for schemas you don't control)
- [Bug]: Kimi-K2.6 TP=4 segfaults in gptq_marlin_repack on GB200 ARM64 with vLLM 0.26.0
- [Bugfix][Core] Add VLLM_FORCE_FP32_ALL_REDUCE env var to fix PCIe non-english logit drift (#40725)
- [Bugfix][Reasoning] Prevent Gemma4 pre-reasoning text from leaking into content
- [Bugfix][Sampler] Keep exactly k tokens in top-k with tied logits
- improve OOM error messages for low-VRAM scenarios
- [Bugfix][Multimodal] Validate dynamic video sampling metadata
- [Doc] Clarify batch invariance Ampere support
- [Doc] Add TTTPS Proof-of-Time provenance middleware example
- [MoE] Let Platforms select fused MoE router constructors
- Docs
- Python not yet supported