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
- [Performance]: Distributed Inference and Serving
- [Doc]: Add GitHub Action to auto-sync Dockerfile dependency graph
- [New Model]: Support Efficient-Large-Model/NVILA
- [Performance]: Huge prompts impact other parallel generations
- [Usage]: Use multiprocessing ?
- [Misc]: Batch Multi-Modal Online Inference
- [Hardware][Gaudi] Support loading checkpoints quantized using Autofp8
- [Usage]: Is there a more refined control method for VLLM caching strategy?
- [CI] Add auto update workflow for Dockerfile graph
- [Feature]: Support sigmoid for classification models
- Docs
- Python not yet supported