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
- [Usage]: Docker w/ CPU fails when defining VLLM_CPU_OMP_THREADS_BIND
- [Misc] Enable vLLM to Dynamically Load LoRA from a Remote Server
- Metrics model name when using multiple loras
- [Usage]: KVcache usage for different tasks in batch
- [Feature]: Manually inject Prefix KV Cache
- [Usage]: What's the relationship between KV cache and MAX_SEQUENCE_LENGTH.
- [Usage]: when i set --tensor-parallel-size 4 ,openai server dose not work . Report a new Exception
- [Bug]: torch.distributed.DistBackendError: NCCL error in: ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1333, unhandled system error (run with NCCL_DEBUG=INFO for details), NCCL version 2.18.1
- [Feature]: Additional possible value for `tool_choice`: `required`
- [Usage]: Optimizing TTFT for Qwen2.5-72B Model Deployment on A800 GPUs for RAG Application
- Docs
- Python not yet supported