llama.cpp adds support for Maple 20B-A1B ternary MoE architecture
September 14, 2026
The ggml-org/llama.cpp repository now supports the Maple 20B-A1B ternary Mixture-of-Experts architecture. This implementation enables running the 20B parameter model on CPUs and systems with limited VRAM by leveraging ternary weights.
HOW THIS AFFECTS YOU
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builderYou can deploy this MoE model on consumer hardware with low GPU memory.
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researcherThis provides a new architecture to test for efficiency in ternary quantized MoE models.