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]: `assert request.num_output_placeholders >= 0` can fail in async scheduling
- [Bug][ROCm]: `vision_embeddings` in transformers inaccurate without math SDP
- [Bug]: PTXAS error: gpu-name sm_103a not defined when running Qwen3-235B-A22B-Instruct-2507 with vllm-openai:v0.12.0
- [Bug]: Qwen3-32B with MTP, run failed.
- add triton ops fused_qkvzba_split_reshape_cat for qwen3_next
- blackwell
- [Model] use maybe_all_reduce_tensor_model_parallel
- [Core]ModelConfig use architecture rather than archiectures
- [Bugfix] anthropic: support incoming streaming DeltaMessage with combined content and tool_calls
- [feat] add num preempted output
- Docs
- Python not yet supported