New 7B Parameter AI Model Outperforms Competitors 2-7 Times Larger in Math and Coding Tasks

Technology Innovation Institute's new Falcon H1R 7B AI model delivers breakthrough performance, outperforming competitors 2-7 times larger in math and coding tasks despite having only 7 billion parameters, achieving 73.96% accuracy in mathematics through innovative two-stage training and efficient test-time scaling technology.

• Technology Innovation Institute releases Falcon H1R 7B, a decoder-only language model that matches or outperforms reasoning models 2-7 times larger despite having only 7 billion parameters
• The model achieves state-of-the-art performance across math (73.96%), code & agentic (33.95%), and general benchmarks (49.48%) through a two-stage training pipeline combining supervised fine-tuning and reinforcement learning
• Falcon H1R 7B uses Deep Think with Confidence (DeepConf) for efficient test-time scaling, delivering superior token throughput and accuracy while generating fewer tokens than competing models