Phi-4-mini-instruct is a lightweight open model from the Phi-4 family, optimized for reasoning with high-quality data. It supports a 128K context window and uses fine-tuning 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-mini-instruct is a lightweight open model from the Phi-4 family, optimized for reasoning with high-quality data. It supports a 128K context window and uses fine-tuning for precise instruction adherence and safety.