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
- [Perf] triton bilinear_pos_embed kernel for ViT
- [Bug]: KV Cache Memory Error with 262K Context on High VRAM Setup (Regression from Previous Version)
- [OpenAI] Fix reasoning_tokens accounting for MiniMax M2 chat completions
- [Bug]: spec decoding nonparallel 路径 draft/target hidden size 不兼容,建议适配不同hidden size
- [Bug] Serialize xgrammar compilation for parallel structured outputs
- [Feature]: Enable simultaneous generate and embed endpoints in a single vLLM instance
- [Bug]: [Bug]: Kimi-K2.5 on version 0.18.0 results in an keyerror when the pipeline parallelism (PP) is greater than or equal to 2
- [Bug][Model] Eagle2.5-VL applies ImageNet normalization instead of SigLIP2
- [RFC]: Intel Quantization Support Roadmap (H1 2026)
- [Bug]: v0.18.0 fails to run MiniCPM-o-4.5
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