phi-4
completions
Phi-4 is a model built upon a blend of synthetic datasets, data from filtered public domain websites, and acquired academic books and Q&A datasets. The goal of this approach was to ensure that small capable models were trained with data focused on high quality and advanced reasoning.
Input:$0.07 / 1M tokens
Output:$0.14 / 1M tokens
Context:16384 tokens
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Model Parameters
11 availablefrequency_penalty
-202
max_tokens
min_p
001
presence_penalty
-201.999
repetition_penalty
012
response_format
seed
stop
temperature
012
top_k
top_p
011
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