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
- [RFC]: Enabling Suffix Decoding, LSTM Speculator, Sequence Parallelism from Arctic Inference
- [Bugfix][Frontend] support webm with audioread fallback
- [Feature]: Add support for multi-lora and single lora for classification tasks
- [Core,Frontend,Doc] Trace v1 cuda start up with opentelemetry (vllm-project#19318)
- A developer friendly tool for multi-instance deployment with Ray Implementation
- [Model] vllm v1 support mlp_speculator
- [Performance]: Speculative decoding doesn't seem to speed up inference?
- Layered Dockerfile for smaller size and faster image pulling
- [ROCm][FEAT] Integrate AITER CustomAllreduce in cuda communicator.
- [Bug]: FP4 not leverage on RTX 6000 Pro (Blackwell)
- Docs
- Python not yet supported