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
- feat(whisper): add decoder prefix and custom task tokens for transcription API
- [Refactor][KVConnector]: Move KV Cache Events into KVConnectorWorkerMetadata
- [Feature]: [Whisper] Support for decoder prefix and custom task tokens in transcription API
- [AsyncTP] Set return_A=False in AllGatherGEMMPattern to unlock multim…
- [Chore] Improve Harmony file_search tool and showcase demo
- [Refactor] [2/N] Reorganize kernel abstraction directory
- [Installation]: MAC M1 installation fails because of bits-and-bytes
- [RFC]: Disaggregated Frontend — Separating Online Serving from Engine
- Add support for LoRA with NVFP4 MoE models
- [DRAFT] Async Allgather
- Docs
- Python not yet supported