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
- [Bug]: LoRA loading fails with Fused MoE when data parallelism (DP > 1) is enabled
- [Bugfix][Tool Parser] Fix crash when parameter description contains parentheses
- [RFC]: Hidden States Extraction
- [MoE Refactor] Only use RouterMethodType for flashinfer
- [CI] Split responses API MCP tests into separate CI step
- [Feature][AMD][ROCm] Refactor VLLM_ROCM_USE_AITER env vars to config
- Add script to benchmark Mamba for optimal max_num_seqs
- [Bugfix] Upgrade Numba to fix segfault on CUDA drivers version 580
- [reasoning parser] code clean
- [Hybrid] Simplify mamba block size logic for `all` mode
- Docs
- Python not yet supported