Meta: Llama 3.2 3B Instruct

Meta's Llama 3.2 3B Instruct model demonstrates exceptional speed, consistently ranking among the fastest models available, and offers highly competitive pricing, placing it in the 98th percentile across benchmarks. This 3-billion-parameter multilingual model, optimized for advanced NLP tasks, was created on September 24, 2024, and supports eight languages. In terms of performance across benchmarks, Llama 3.2 3B shows a mixed profile. It exhibits a notable strength in handling uncertainty, achieving 78.0% accuracy in Hallucinations (Baseline) by appropriately acknowledging fictional concepts. It also performs well in Email Classification, with 88.0% accuracy, making it the most accurate model at its price point for this task. General Knowledge is fair at 76.0% accuracy, boasting the best accuracy-to-cost ratio. However, the model struggles significantly in more complex cognitive areas. Its accuracy is notably low in Mathematics (4.0%), Ethics (44.0%), Reasoning (20.4%), and Coding (11.0%). Instruction Following also presents a weakness, with one benchmark showing 0.0% accuracy and another at 26.3%. These results suggest that while the model excels in specific classification and uncertainty handling tasks, its capabilities in complex problem-solving, ethical reasoning, and precise instruction execution require further development.