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
- CUDA-13 CI update
- [Feature] Add num_steps and delay_steps parameters to /start_profile endpoint
- [DRAFT] Add triton_attn_td backend
- [Bugfix][Frontend] Fix reasoning-end detection to check prompt tail o…
- feat(benchmarks): add TTFT and TPOT statistics to throughput benchmark
- Fix Qwen 3.5 tool calling problem
- feat(kv-offload): Strategy B — AdaptiveOffloadingPolicy + non-blocking loads
- [Spec Decode] Finite state machine speculative decoding
- [Bug]: Value error, Model architectures ['Qwen3_5MoeForConditionalGeneration'] are not supported for now
- [Perf] Optimize Sampler Redundant Copy for Model Runner v2, 1.8% Throughput Improvement
- Docs
- Python not yet supported