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]: wake up OOM (72B model in 8*A800(40G))
- [Feature]: [V1] Parallel sampling should support metrics
- [Feature]: Add support for multi-lora using classification
- [Bug]: Close feature gaps when using xgrammar for structured output
- [Feature]: Support Multiple Tasks Per Model
- [Feature]: add DoRA support
- [Distributed] Tensor Parallel RMSNorm
- [Frontend] Support suffix in completions API (fill-in-the-middle, FIM)
- [Misc]: CMake Clean-up / Refactor Tasks
- [RFC]: QuantizationConfig and QuantizeMethodBase Refactor for Simplifying Kernel Integrations
- Docs
- Python not yet supported