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content/learning-paths/servers-and-cloud-computing/onnx/setup.md

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## Before You Begin
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This Learning Path demonstrates how to run quantized Phi models on the Cobalt 100 servers using ONNX Runtime. Specifically, it focuses on deploying the Phi 3.5 vision model on Arm-based servers running Ubuntu 24.04 LTS. The instructions have been tested on a Azure Dpls_v6 - 16 cores instance.
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This Learning Path demonstrates how to run quantized Phi models on the Cobalt 100 servers using ONNX Runtime. Specifically, it focuses on deploying the Phi 3.5 vision model on Arm-based servers running Ubuntu 24.04 LTS. The instructions have been tested on a Azure Dpls_v6 - 32 cores instance.
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## Overview
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huggingface-cli download microsoft/Phi-3.5-vision-instruct-onnx --include cpu_and_mobile/cpu-int4-rtn-block-32-acc-level-4/* --local-dir .
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```
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The Phi 3.5 vision model has now been successfully quantized into the ONNX format. The next step is to run the model using ONNX Runtime.
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The Phi 3.5 vision model has now been successfully quantized into the ONNX format. The next step is to run the model using ONNX Runtime.

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