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
- [Bugfix][Responses] Default image detail in function tool outputs
- [Spec Decode] Support the Liquid LFM2.5-VL DSpark drafter
- [XPU][UT] Skip DeepSeek V4.1 initialization test on unsupported platforms
- [Bugfix][Reasoning] Stop kimi_k2 reasoning end check at the current turn
- [Bugfix][Tool Parser] Don't stream numbers in pythonic tool calls before they're complete
- [EPLB] Support heterogeneous DeepSeek V4/V4.1 DSpark draft experts
- [ROCm] Use mfma_r4_w4 for long gfx942 FP8 MQA logits
- [Kernel] Scale elementwise kernel launches with the device, not just batch size
- [Bug] fix: LLM.__repr__ handles non-torch worker models (#61366)
- [RFC]: Re-evaluate per-iteration metrics as a foundation for orchestrator observability
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- Python not yet supported