Falcon3 represents TII’s latest advancement in efficient language models under 10B parameters, focused on enhancing science, math, and code capabilities while maintaining training efficiency.
Key Features
- Four sizes: 1B, 3B, 7B, 10B
- Depth up-scaling technique used to create 10B model from 7B
- Knowledge distillation for smaller models (1B, 3B)
Performance Highlights
falcon3:1boutperformssmollm2:1.7b, matchesgemma2:2bfalcon3:10bachieves SOTA in under-13B category- Extended context length up to 32K tokens (8K for 1B model)