CUDA 12.4 backend for AuraRouter
Project description
aurarouter-cuda12
AuraRouter Stable GPU Backend (CUDA 12.4)
This package is a "sidecar" for AuraRouter. It contains the pre-compiled binary payload required to run local LLMs on older NVIDIA GPUs or systems with legacy drivers.
What's inside?
llama-server.exe: Compiled with CUDA 12.4 support.ggml-cuda.dll: Optimized kernels for NVIDIA architectures.cudart64_12.dll&cublas64_12.dll: Required NVIDIA runtime libraries.
Requirements
- Hardware: NVIDIA GPU.
- Drivers: NVIDIA Driver version 525.60 or higher.
- AuraRouter: Must be installed in the same environment.
Usage
Simply install this package into the same virtual environment as aurarouter:
pip install aurarouter-cuda12
AuraRouter's BinaryManager will automatically detect this package and use it for local inference. It is prioritized over CPU-based backends but lower than aurarouter-cuda13.
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