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
- [Performance]: Moving the initialisation of the v variable in the _fwd_kernel() function has an effect on performance.
- [Kernel] Factor registrations
- [Bugfix] Fix code for downloading models from modelscope
- [Core]: Support encode only models by Workflow Defined Engine
- [RFC]: Support encode only models by Workflow Defined Engine
- [Bug]: Model architectures ['Qwen2AudioForConditionalGeneration'] are not supported for now.
- [Bug]: ValueError: could not broadcast input array from shape (513,) into shape (512,)
- [Doc]: Add Kubernetes (K8s) Deployment Documentation for vLLM with GPUs
- [Doc]: Add deploying_with_k8s guide
- [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
- Docs
- Python not yet supported