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
- why our performance so low when compare with sglang(https://github.com/sgl-project/sglang?tab=readme-ov-file#benchmark-and-performance)
- [Usage]: Streaming response
- [Bug]: Mixtral 8-way TP with --enable-lora crashes with CUDA illegal memory access error
- [Bug]: cuda OOM errors persist across requests.
- [Bug]: Unable to build image from `vllm` repo Dockerfile
- [Bug]: error: Segmentation fault(SIGSEGV received at time)
- [Feature Request]: Support INT4 for MiniCPM-Llama3-V-2_5
- [Frontend]: Add apply_chat_template method and update generate method in LLM class
- [Feature]: Add embeddings api for Llama
- [Misc]: Why doesn't a larger block size result in faster performance?
- Docs
- Python not yet supported