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WaveOAK/smollm2-nigerian-cultural-blindspots

Project: Blind Spots of Frontier Models (SmolLM2-1.7B) Model Tested SmolLM2-1.7B Loading Code Python from transformers import AutoModelForCausalLM, AutoTokenizer import torch model_id = "HuggingFaceTB/SmolLM2-1.7B" tokenizer = AutoTokenizer.from_pretrained(model_id) model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto", torch_dtype=torch.bfloat16) Discussion of Errors The model struggles with cultural semiotics and West African regional dialects (Pidgin). It tends to… See the full description on the dataset page: https://huggingface.co/datasets/WaveOAK/smollm2-nigerian-cultural-blindspots.

sourceHugging Faceapache-2.0updated 7mo agoView on Hugging Face
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namesmollm2-nigerian-cultural-blindspots
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