The lole25/phi-2-sft-ultrachat-full model is a fine-tuned version of Microsoft's Phi-2, a small language model. This model has been specifically fine-tuned on the HuggingFaceH4/ultrachat_200k dataset, indicating an optimization for conversational or instruction-following tasks. It achieves a validation loss of 1.1928, suggesting its performance in generating relevant and coherent responses based on the training data.
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