vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
Triage Issues!
When you volunteer to triage issues, you'll receive an email each day with a link to an open issue that needs help in this project. You'll also receive instructions on how to triage issues.
Triage Docs!
Receive a documented method or class from your favorite GitHub repos in your inbox every day. If you're really pro, receive undocumented methods or classes and supercharge your commit history.
Python not yet supported4 Subscribers
Add a CodeTriage badge to vllm
Help out
- Issues
- [Bug]: Failed to pickle inputs of failed execution: CUDA error: an illegal memory access was encountered
- [Bug]: latest docker build (0.6.2) got error due to VLLM_MAX_SIZE_MB
- [Bug]: Process group watchdog thread terminated with exception: CUDA error: an illegal memory access was encountered
- [Model] Support Mamba2 (Codestral Mamba)
- [Installation]: vllm installation error
- [Bugfix] Update grafana dashboard
- [Quantization][TPU] `compressed-tensors` integration for TPU
- [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
- Docs
- Python not yet supported