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
- [Frontend] Support suffix in completions API (fill-in-the-middle, FIM)
- [Bug]: [Performance] 100% performance drop using multiple lora vs no lora(qwen-chat model)
- [Feature]: Simple Data Parallelism in vLLM
- [Misc]: CMake Clean-up / Refactor Tasks
- [RFC]: QuantizationConfig and QuantizeMethodBase Refactor for Simplifying Kernel Integrations
- vLLM's V1 Engine Architecture
- [Feature]: DRY Sampling
- [New Model]: Request to integrate Chexagent Multimodel in vLLM
- [RFC]: Performance Roadmap
- [Bug]: No module named `jsonschema.protocols`.
- Docs
- Python not yet supported