Phi-4 is a state-of-the-art open model trained on high-quality synthetic, public, and academic data for advanced reasoning. It uses fine-tuning and preference optimization for precise instruction adherence and safety.
The maximum number of tokens to generate. Shorter token lengths will provide faster performance.
A decimal number that determines the degree of randomness in the response
An alternative to sampling with temperature, where the model considers the results of the tokens with top_p probability mass.
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Description
Phi-4 is a state-of-the-art open model trained on high-quality synthetic, public, and academic data for advanced reasoning. It uses fine-tuning and preference optimization for precise instruction adherence and safety.