ended6월 6일· 1 sources
Deploying Gemma-4 12B Locally: llama.cpp on WSL2
로컬에서 Gemma-4 12B 배포: WSL2와 llama.cpp 활용법
Why it matters
Running Gemma-4 12B locally on WSL2 with llama.cpp enables developers to deploy advanced language models without cloud dependencies, reducing operational costs and protecting data privacy. GPU acceleration through CUDA support ensures practical performance for real-time inference, making enterprise-grade AI accessible to Windows developers.
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Gemma-4llama.cppWSL2CUDAGGUF