From 2de6cb0605681db39314818fdddd54a33cc426b0 Mon Sep 17 00:00:00 2001
From: Hansong <107070759+kirklandsign@users.noreply.github.com>
Date: Tue, 23 Jul 2024 15:55:35 -0400
Subject: [PATCH] Delete examples/models/phi-3-mini/README.md (#4379)

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-# Summary
-This example demonstrates how to run a [Phi-3-mini](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) 3.8B model via ExecuTorch. We use XNNPACK to accelarate the performance and XNNPACK symmetric per channel quantization.
-
-# Instructions
-## Step 1: Setup
-1. Follow the [tutorial](https://pytorch.org/executorch/main/getting-started-setup) to set up ExecuTorch. For installation run `./install_requirements.sh --pybind xnnpack`
-2. Phi-3 Mini-128K-Instruct has been integrated in the development version (4.41.0.dev0) of transformers. Make sure that you install transformers with version at least 4.41.0: `pip uninstall -y transformers && pip install git+https://github.com/huggingface/transformers`
-
-
-## Step 2: Prepare and run the model
-1. Download the `tokenizer.model` from HuggingFace.
-```
-cd examples/models/phi-3-mini
-wget -O tokenizer.model https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/resolve/main/tokenizer.model?download=true
-```
-2. Export the model. This step will take a few minutes to finish.
-```
-python export_model.py
-```
-3. Build and run the runner.
-```
-mkdir cmake-out
-cd cmake-out
-cmake ..
-cd ..
-cmake --build cmake-out -j10
-./cmake-out/phi_3_mini_runner
-```