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
- [Bugfix] Update grafana dashboard
- [Bug]: Out of memory with large multi-step and large gpu-memory-utilization values - `--num-scheduler-steps 16 --gpu-memory-utilization 0.941`
- [RFC]: Shared Mixture of Experts
- [Installation]: Getting "ERROR: THESE PACKAGES DO NOT MATCH THE HASHES FROM THE REQUIREMENTS FILE..." error
- [Usage]: How to Calculate QPS Metric for vllm-Deployed Model Service Using Raw Query in Prometheus?
- [Bug]: An error occurred while using H20 to perform multi machine inference 405B through the ray cluster, causing inference to crash.
- [Bug]: error when the concurrency reaches 10 with gptq4bits
- [Feature]: Build custom_ops for both CPU and CUDA
- [Misc]: Debugging the paged attention issue for customized LLMs
- [Installation]: build error from source on P40 in container
- Docs
- Python not yet supported