Pros
- State-of-the-art performance on reasoning tasks, especially math.
- Small model size, making it efficient and suitable for on-device deployment.
- Open-source, fostering collaboration and innovation.
- Strong safety and responsibility features.
Cons
- Less proficient in tasks that require broad factual knowledge compared to larger models.
- Primarily trained on English, so performance in other languages may be limited.
- May not be suitable for all downstream use cases without further fine-tuning and evaluation.