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]: vllm, EngineCore encountered a fatal error TimeoutError
- [torch.compile][Performance]: Unwrap custom ops and improve fusion (Inductor and custom)
- [Core] Make Whisper work with b200 + flashinfer
- [Feature]: GLM-4.6 spec decode with mtp
- [EPLB] Offline eplb support
- [Feature]: Batch Invariant Feature and Performance Optimization
- [FEAT] [Multi-modal] Reorganizing ViT Attention Backend and decouple from Text Attention Backend
- [Quantization] quantized kv cache loading for models like qwen
- [Feature]: Optimize collectives in TP MoE case using torch.compile pass
- Support compressed-tensors W4A8 MoE checkpoints in GptOssModel weight loader for CPU
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- Python not yet supported