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
- 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
- [Bugfix] EPLB - Mistral 3 Large
- [Attention] Abstract the MLA prefill backends
- Introduce InferenceProfile as execution-intent metadata
- [Doc/Fix] Add Docker Compose guide and fix doc-build hook
- [Bug][ROCm]: Prefix caching produces different output on first request (cache miss) vs subsequent requests (cache hit)
- Docs
- Python not yet supported