Model Tested
I evaluated SmolLM2-1.7B. This is a compact base model (not fine-tuned for instruction following), which allows for the identification of raw data biases and "blind spots" in its pre-training corpus regarding specialized regional knowledge.
How I Loaded and Tested the Model
The model was loaded in a Google Colab environment using a T4 GPU. I used the transformers library with bfloat16 precision to ensure efficient memory management while maintaining numerical accuracy.… See the full description on the dataset page:
https://huggingface.co/datasets/Isaac101111/nigerian-food-science-frontier-blindspots.
