CPU-GPU hybrid inference and fine-tuning for mixture-of-experts models
A framework that splits large model workloads between GPU and CPU so very large mixture-of-experts models can run beyond consumer GPU memory limits.
From ManuAGI - AutoGPT Tutorials — Top Open-Source GitHub Projects : Jellyfin, Harper, OpenCut, Axolotl, Tududi & Amicro #278 at 04:26
Problem: Huge mixture-of-experts models may not fit in consumer GPU memory.
For: Developers running or fine-tuning large language models on heterogeneous hardware.
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