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
- [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
- [CI/Build] drop support for Python 3.8 EOL
- [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
- [Feature]: MultiModal benchmark_latency, benchmark_throughput, and benchmark_online
- [Bug]: Rocm gemm tunning doen't work.
- Docs
- Python not yet supported