McGill-NLP/AfriqueLlama-8B seems to hallucinate quite a bit. It chooses conversational outputs and goes beyond what I ask it to. I have the hyperparameters below. generated_ids = model.generate( **inputs, max_new_tokens=max_new_tokens, do_sample=False, num_beams=1, pad_token_id=tokenizer.pad_token_id) Does anyone have advice to have the model strictly follow instructions, without fine-tuning (other than including few-shot examples)?

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