MLX-compatible REAP for pruning MoE models on Apple Silicon
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Updated
Jun 8, 2026 - Python
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reap
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A reusable, model-agnostic methodology for evaluating pruned/compressed Mixture-of-Experts (MoE) model releases: rubric, red-flag catalog, runnable behavioral tests, scorecard + producer checklists, and worked examples.
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Updated
Jun 13, 2026
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