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
- [RFC]: Use session Agent Hints to reuse prompt tokens and block hashes
- [Multimodal] Point KV cache memory errors at encoder profiling knobs
- [Bugfix][CPU] Default Triton to the CPU backend
- [Bugfix][Frontend] Fold inline system messages in place for system-first templates
- [Config] Add register_model_arch_config_convertor for out-of-tree models
- [CI] Add DFlash/DSpark issue labeling and Spec Decode matching
- [Bugfix][LoRA] Align Qwen3 audio projections with valid token mappings
- [ROCm][gfx1151] ROCM_RDNA_ATTN: attention backend for RDNA
- [Bugfix][Worker] Stage startup plans in a unique temp file before publishing
- [Bugfix][Test] Compute the DCP packed A2A reference LSE in fp32
- Docs
- Python not yet supported