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
- [Bug]: crash on Triton backends when start vllm 0.6.1
- [Bug]: using Dockerfile to build image got Killed,even when I have 32g of ram
- [Usage]: Collect performance metrics in offline serving
- [Performance]: Moving the initialisation of the v variable in the _fwd_kernel() function has an effect on performance.
- [Kernel] Factor registrations
- [PoC]: Support encode only models by Workflow Defined Engine
- [RFC]: Support encode only models by Workflow Defined Engine
- [Bug]: ValueError: could not broadcast input array from shape (513,) into shape (512,)
- [Bug]: How can I run VLLM serving without an internet connection? I tried setting the global variable but it still trying to connect to huggingface
- [New Model]: We can able to run phi-3.5 vision instruct model but wanted to run in int4 quantization
- Docs
- Python not yet supported