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
- Add prompt field to GenerateRequest protocol and update render endpoints
- Update Dockerfile.rocm for AINIC & Thor NIC
- gemma4: batch multimodal vision processing
- [Attention] Extract KV-cache update from CPU attention backend
- Require C++20 for compatibility with PyTorch
- [BugFix]Auto-size FlashInfer workspace buffer to prevent buffer overflows on model
- [ROCm] Add HIP paged attention kernel for TurboQuant k8v4 decode
- Bug/test eagle dp v3
- [Hardware][Power]Add Power VSX Attention Backend and fix l2 Cache Crash
- [Bugfix][Rocm]Aiter MoE re-uses existing tensor addresses after weight update.
- Docs
- Python not yet supported