Betelgeuse-AI/Betelgeuse
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Very new: it was created yesterday. Wait a little before installing it.
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MIT: you can use it for free, also in a commercial product. Keep the licence notice.
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What it is
A llama.cpp fork that runs mixture-of-experts models larger than GPU memory on an RTX 3060 12 GB. Dense weights stay on the GPU, while routed experts are paged from local NVMe into a bounded VRAM slot pool on demand. Experimental, hardware-specific, and requires a four-file…
Who it's for
Linux developers with an RTX 3060 and local NVMe running large MoE models locally who accept experimental llama.cpp forks
How to use it
Ready-made installers, when the project publishes them, are on its latest release.
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Help me install and set up Betelgeuse-AI/Betelgeuse in my project. Follow its README: https://github.com/Betelgeuse-AI/Betelgeuse. Explain each step and check it is safe before running anything.
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