QSPEC introduces a novel approach that integrates complementary quantization methods with speculative decoding to accelerate LLM inference while maintaining accuracy.

• Combines activation-weight joint quantization for speed with weight-only quantization for accuracy
• Achieves up to 2.5x speedup without significant performance degradation
• Maintains reasoning capabilities even in memory-constrained environments
• Enables efficient deployment on edge devices without sacrificing model quality

This engineering breakthrough addresses the critical tradeoff between inference speed and model accuracy, making powerful LLMs more practical for real-world applications with limited computing resources.

QSpec: Speculative Decoding with Complementary Quantization Schemes