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
- [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
- [Usage]: why speculate decoding is slower than normal decoding?
- [Usage]: How to use AutoModelForSequenceClassification correctly
- [Bug]: NCCL get stuck when instantiating the LLM class.
- [Bug]: GPU can only load the model once, it gets stuck when loaded again
- [Bug]: OOM When trying to start server on Sagemaker
- [Performance]: JSONLogitsProcessor repeats the same `build_regex_from_schema` again and again
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- Python not yet supported