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]: sm75 --num-scheduler-steps 8, unhandled errors in a TaskGroup
- [Bug]: In the case of quantization=compressed-tensors, Qwen2-57B-A14B-Instruct is not supported.
- [Misc]: kvcache hash collision
- [Misc]: Throughput calculation in benchmark_throughput.py
- [Bug]: Metrics error for --num-scheduler-steps > 1
- [Bug]: requests with response_format cause vllm to hang with pipeline parallel
- [Usage]: How to determine the batch size for batch offline inference?
- Reshape cache to be XQA kernel compatible
- [Bug]: Shutdown problem when we use ADAG
- [Usage]: Is there an argument to adjust the interval time for logs displayed on the terminal?
- Docs
- Python not yet supported