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
- Optimize --help performance: Avoid torch import during help display
- [Core] Begin refactor of structured output backend batching logic [1/n]
- [wip] fp8 online quant with blockwise scaling
- [WideEP] Remove pplx all2all backend
- [Core] Reduce median/average TTFT by up to ~37% with Inter-Prefill-Budget
- Resolve compressed-tensors support for non-divisible group_sizes
- [Spec Decode] Add hidden states extraction system
- [CI][AMD][BugFix][P/D] Add default_vllm_config to test_moriio_connector.py so tests pass
- [Model][Spec Decode] Nemotron-H MTP and Mamba Speculative Decoding Support
- [EC Connector] SHMConnector: Share Memory based EC Connector
- Docs
- Python not yet supported