llama.cpp PR

Описание: A walkthrough of PR #27000 in llama.cpp, which adds ternary quantization support for Mixture-of-Experts models.

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This milestone PR introduces support for the Maple 20B-A1B ternary MoE architecture, optimized for CPU inference. The changes demonstrate how novel quantization techniques can make powerful MoE models run efficiently on consumer hardware. We walk through the implementation, the architectural decisions, and what this means for local LLM inference.
#llama

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