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MAPLE

Prunes Gemma 4 26B to run fully on a 6 GB GPU

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Artificial IntelligenceOpen Source

MAPLE compresses mixture-of-experts LLMs by removing rarely used experts. On Gemma 4 26B-A4B it keeps 48 of 128 experts per layer, chosen from activation profiles on technical text, and shrinks the GGUF from 9.9 GB to 4.75 GB, so the model fits entirely on a 6 GB laptop GPU. The author reports 45 tokens/s instead of 6.9 with partial CPU offload, on his own small benchmarks. Apache-2.0.