model size reduction

3 papers

• 70% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length Float (DFloat11)
• Empowering Decision Trees via Shape Function Branching
• Layer as Puzzle Pieces: Compressing Large Language Models through Layer Concatenation