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
- [Feature][P2]: Implement CI Build Time and Size Guards
- [Feature][P2]: Move Examples/Benchmarks to Test Stage Only
- [Feature][P1]: Investigate and Implement FSx for Persistent Caching
- [Feature][P1]: Bake Base Docker Images into EC2 AMI with Packer
- [Feature][P2]: Investigate Lazy Image Pull with Stargz/Nydus Snapshotters
- [Feature][P1]: Investigate and Implement Zstd Compression for Docker Images
- [Quantization] Use torch.from_numpy to avoid deep copy when iterate GGUF weights
- [Feature]: GGUF model with architecture qwen3vlmoe is not supported yet.
- [Bug]: `--pipeline-parallelism>2` results in `RayChannelTimeoutError`
- [Bug]: LongCat-Flash fails to start with TorchDynamo due to “Data-dependent assertion failed” in FusedMoE
- Docs
- Python not yet supported