REAP enables 50% pruning for Qwen MoE models

MoE pruning is becoming the new standard for "squeezing" SOTA models into smaller memory footprints without the high cost of fine-tuning.

• –One-shot capability means developers can prune a model in minutes on a single GPU rather than spending weeks on retraining.
• –Targeted pruning for specific domains (e.g., C# coding) can create highly optimized, domain-specific sub-models from general-purpose weights.
• –By identifying and protecting "Super Experts," REAP avoids the catastrophic model collapse often seen in simpler magnitude-based pruning methods.
• –Cerebras Research's official codebase includes "Reap It Yourself" (RIY) tools for custom profiling on specific workloads.