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
- Change the default value of truncate_prompt_tokens in the embedding/rerank/pooling model to -1
- [CI][#23593] Declarative regression tests for API parameters
- [Bug]: torch.AcceleratorError: CUDA error: an illegal memory access was encountered
- [Bugfix] Fix Kimi-K2 tool parser concatenated tool calls parsing
- [Perf] Disable group QuantFP8 on SM100 (use forward_native)
- add log for request trace
- [Roadmap] vLLM Roadmap Q4 2025
- add log for request trace
- [WIP] [GPT-OSS] customized symm_mem based EP comm kernel integration
- [GPUModelRunner] initialize_kv_cache cleanup (1/N): move initialization that doesn't depend on kv cache config to load_model
- Docs
- Python not yet supported