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
- [Usage]: Does it support the deployment of P node TEP and D node DEP modes
- [Frontend] Support min_p in the Responses API
- [Bug fix] Always pass launch_pdl kwarg in fused_inv_rope_fp8_quant (DeepSeek-V4)
- [Feature]: Support for jina-embeddings-v2-small-en
- fix(ovis2.5): prevent VTE crash from empty indicator_tokens
- [Model] Enable LoRA support for tower and connector in Intern-S1
- Fix/qwen3 vl text lora noop
- test: cover parallel sampling output kinds
- [Bugfix][Distributed] Disable fused allreduce when NVLink multicast is unavailable
- [Core][Model] Add Confident Decoding (phase 1: Llama + core utilities)
- Docs
- Python not yet supported