Bonsai introduces a gradient-free pruning approach that eliminates backpropagation needs, dramatically reducing computational costs while maintaining model performance.

• Creates smaller, faster LLMs using forward passes only
• Significantly reduces memory requirements and compute costs
• Achieves state-of-the-art pruning results without backward passes
• Enables efficient compression for resource-constrained environments

This research represents a major engineering breakthrough in model optimization, making LLM deployment more practical for teams with limited computational resources.

Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes