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
- Support Kuberenetes for Distributed Serving
- Use multi-turn prompts for benchmark_throughput.py
- Update config.py for models which use_dynamic_ntk
- Proposal: Add model registration to support proprietary models
- [docs] add load balancing examples
- Any optimization options for H100?
- Use LRU cache for CUDA Graphs
- systems with SELinux
- [Feature Request] Mixtral Offloading
- Feature request: Expert parallel for MoE architectures
- Docs
- Python not yet supported