๐ Phi 4 : [multimodal instruct onnx]; [mini instruct onnx] Model Summary The Phi 3 Mini 128K Instruct is a 3.8 billion parameter, lightweight, state of the art open model trained using the Phi 3 datasets. This dataset includes both synthetic data and filtered publicly available website data, with an emphasis on high quality and reasoning dense properties. The model belongs to the Phi 3 family with the Mini version in two variants 4K and 128K which is the context length (in tokens) that it can support. After initial training, the model underwent a post training process that involved supervised fine tuning and direct preference optimization to enhance its ability to follow instructions and adhere to safety measures. When evaluated against benchmarks that test common sense, language understanding, mathematics, coding, long term context, and logical reasoning, the Phi 3 Mini 128K Instruct demonstrated robust and state of the art performance among models with fewer than 13 billion parameters. Resources and Technical Documentation: ๐ก Phi 3 Portal ๐ฐ Phi 3 Microsoft Blog ๐ Phi 3 Technical Report ๐ ๏ธ Phi 3 on Azure AI Studio ๐ฉโ๐ณ Phi 3 Cookbook ๐ฅ๏ธ Try It Short Context Long Context : :โฆ
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