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GitHub Repository
MLX-compatible REAP for pruning MoE models on Apple Silicon
0 starsPython
Ported Cerebras REAP to MLX – Prune MoE Experts on a MacBook
by egesabanci·Jun 2, 2026·2 points·0 comments
AI Analysis
●●SolidNiche GemBig Brain
MoE pruning on MacBook without CUDA or PyTorch dependency stack.
Strengths
- •MLX-only runtime avoids importing Torch, vLLM, or plotting libraries.
- •Adapter architecture isolates model-family differences cleanly.
- •Structured telemetry writes validation metrics and pruning decisions per run.
Weaknesses
- •Port of existing Cerebras research, not novel algorithm or architecture.
- •Narrow audience limits broader appeal beyond MoE researchers.
Category
Target Audience
ML researchers and engineers working with MoE models on Mac
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Cerebras REAP · MLX-LM
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