Tag: AI Model Compression
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BWLA: Efficient 1-Bit Weight Quantization for LLMs
Discover BWLA, a breakthrough post-training quantization method that boosts LLM speed and accuracy using 1-bit weights and low-bit activations.
TinyR1-32B: Boost Accuracy with Branch-Merge Distillation
Discover how TinyR1-32B uses Branch-Merge Distillation to reduce LLM size while boosting accuracy in math, coding, and science benchmarks.
QYOLO: Quantum-Inspired Lightweight Object Detection
Discover QYOLO, a quantum-inspired lightweight object detection model that reduces parameters and computation while maintaining high accuracy.
Accelerating Multimodal Models with Hardware & Software
Discover hardware and software techniques to boost multimodal foundation models' efficiency, performance, and adaptability in AI applications.
SimDiff: Advanced Depth Pruning for Efficient LLMs
Discover SimDiff, a novel depth pruning method using similarity and difference metrics to boost large language model efficiency and speed.