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
- replace `with torch.cuda.stream()`
- [12/n] Migrate hadamard + mamba to torch stable ABI
- Allow other models to use the Harmony format
- [Roadmap] vLLM Release/CI/Performance Benchmark Q2 2025
- [Feature]: Support structured output and tool call together
- [Feature]: Run performance benchmarks for multi-modal models in CI
- [Feature]: Sentence transformers embeddings support
- [RFC]: Controlling the maximum length of the waiting queue
- [Feature]: Metal support
- [Bug]: Add tests for all parallel sampling parameter combinations
- Docs
- Python not yet supported