# How to Use Genie

This tutorial helps you download and configure example code that automates preparing, converting, and using an LLM on a target device with the Genie SDK. Throughout the tutorial we will refer to this example code as the “Jupyter Notebooks” as that is how they are implemented. These code-based tutorials consist of three notebooks that must be run in order:

1. **Step 1: Preparing your model** - This notebook helps quantize your model and prepare it for execution on the target device. This uses Qualcomm’s AIMET library to do the Quantization. This is also where optimizations like [LoRA](https://www.cloudflare.com/learning/ai/what-is-lora/) are done to improve the accuracy / efficiency of your model.
2. **Step-2: Converting your model** - The second notebook takes your optimized model and uses the [QNN SDK (aka the ”AI Engine Direct SDK”)](https://www.qualcomm.com/developer/software/qualcomm-ai-engine-direct-sdk) to build it into a format that your target device can execute.
3. **Step-3: Configuring Genie and executing your model** - The final notebook shows you how to use the Genie specific settings and configuration files at runtime with your model.

This tutorial currently focuses on explaining how to configure the Genie specific settings in Step-3, but it will also provide some guidance on how to complete Step-1 and Step-2 in order to have the proper files for Step-3.

These files are downloadable from Qualcomm’s Package Manager (QPM). There are many different Jupyter Notebooks which can help with various use cases.

Note

If you run into any problems, you can ask for help in the [Developer Discord](https://discord.gg/akBfTuX2bR).

## Pre-requisites

Begin the tutorial by accessing your Linux host machine.

This tutorial assumes you are working on a Linux host machine (where the Jupyter Notebook code will run) with an Android target device (where your model will execute).

Based on your situation you may have to modify these steps, and the tutorial will try to call out where those changes will be needed.

Note

If you are using a Windows machine, you can use WSL to get Linux-like syntax or adapt the commands to PowerShell syntax (ex. using an AI like ChatGPT). If you are using WSL, install the Linux version of files from QPM.

You will need your host machine to be connected to your target device for running the steps in the Step-3 Notebook. If you are using a different target device than Android, you will likely need to change how you move files onto the target devices (ex. using `ssh` instead of `adb`).

## Part 1: Installing Qualcomm’s Package Manager (QPM3)

Warning

If you already have QPM3 installed, skip this section. We need this package manager to extract the downloaded tutorial files we will download later.

1. Open a terminal on your host machine (where you are doing your dev work).
2. Check whether you have qpm-cli installed by running:

qpm-cli --help
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3. If you have qpm-cli installed, skip to Part 2: Downloading the GenAI Tutorial.
4. If you do NOT have `qpm-cli` installed, [click this link](https://qpm.qualcomm.com/#/main/tools/details/QPM3) and sign into [Qualcomm Package Manager 3](https://qpm.qualcomm.com/#/main/tools/details/QPM3) on the browser.

    1. If you do not have an account, you can create one by clicking “Sign up” in the bottom right corner and following the account creation steps.

Warning

After signing in, the site may show an error like “502 bad gateway”, the login will still be successful and you can continue to the next step.
5. Click this link after signing in to go directly to the QPM3 desktop download: [https://qpm.qualcomm.com/#/main/tools/details/QPM3](https://qpm.qualcomm.com/#/main/tools/details/QPM3)
6. Download the version of QPM3 which matches your host machine’s OS.

    1. If you are using another dev machine via `ssh` or some other connection, make sure you download the version that corresponds to your connected device and you can transfer the executable file using `scp`.
7. Start QPM3 by running the QPM3 executable / downloaded file.

    1. It should have a name similar to `QPM.3.0.92.3.Windows-AnyCPU.exe` if you are on Windows, with a different extension for Linux (ex. `.deb`).
8. This will open an installation wizard, follow all steps it presents to install QPM3.

    1. This will also install the `qpm-cli` tool for installing packages via the CLI.
9. Wait for the installation to complete (this can take ~5-10 minutes).
10. Verify the new install was successful by running:

qpm-cli --help
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    You should see a list of options for `qpm-cli` if it was installed properly.

## Part 2: Downloading the GenAI Tutorial (GAIT)

1. Check if you have Python installed by running:

python3 --version
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2. If you do not have Python 3.10, you can install it by running:

sudo apt-get update && sudo apt-get install python3.10 python3-distutils libpython3.10
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3. Install [Jupyter Notebook](https://jupyter.org/install) if you do not have it already by running:

pip install notebook
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4. Login to the QPM3 CLI by replacing &lt;username&gt; in the below command with your QualcommID username, then running the command:

qpm-cli --login <username>
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5. Run this command to set which directory our tutorial files will live in.

Note

You can modify this path, but `/tmp/genie_tutorial` is a sensible default.

export TUTORIAL_DIR="/tmp/genie_tutorial"
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6. Create the folder by running:

mkdir -p $TUTORIAL_DIR
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7. Activate the license so we have permission to download the tutorial files by running:

qpm-cli --license-activate Tutorial_for_Llama_3_x
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8. Install the tutorial files by running:

qpm-cli --install Tutorial_for_Llama_3_x --path $TUTORIAL_DIR
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Note

You will have to confirm during the download by typing `y`.
9. Verify the files were installed properly by running:

ls $TUTORIAL_DIR
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    You should see `common` and `model` folders, along with a few other files.
10. Navigate to the newly installed files by running:

cd $TUTORIAL_DIR
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## Part 3: Read and run the Step-1 Notebook

This Notebook helps quantize and prepare your model. This is where optimizations such as LoRA take place. It helps show how you can use AIMET to create an efficient representation of your model, with fine-tuned values.

1. Read the overall README by running:

cat $TUTORIAL_DIR/model/README.md
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2. Follow the instructions in that README for configurations you must do.
3. Read the README.md for Notebook 1 located at:

cat $TUTORIAL_DIR/model/Step-1/README.md
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4. Follow the instructions within the Step-1 README.md

    1. This will help you install necessary dependencies, set up a docker container, and prepare your model for the Step-2 notebook.
    2. This will also walk you through running the notebook

## Part 4: Run the Step-2 Notebook

These will help you use the QNN SDK to prepare your model to be executed on a specific target device (ex. Android phone with a GPU). By the end, you should have one or more context binary files that can be used in the Step-3 Notebook to run the model on the target device.

1. Read the README for Step-2

cat $TUTORIAL_DIR/model/Step-2/host_linux/README.md
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2. Follow the steps in the README for Step-2
3. Follow any instructions within the notebook file (`$TUTORIAL_DIR/Step-2/host_linux/qnn_model_compile.ipynb`) and run each frame in order.

The end result should be context binaries that we will copy into the right folder for Step-3’s notebook.

## Part 5: Prepare the config file

In order to run the Step-3 notebook (which contains the Genie-specific logic) we need to create several configuration files. These will tell the notebook where to find dependencies such as the QAIRT SDK, configure basic information like where to output the files, etc.

1. Check if you have `QNN_SDK_ROOT` set:

echo $QNN_SDK_ROOT
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2. If `QNN_SDK_ROOT` is not set:

    1. This variable should have been set during the Step-1 Notebook setup, but may have been unset if you are using a new terminal.

        1. If you do not know what the QAIRT SDK is, you can install it by clicking “Get Software” on [this page](https://www.qualcomm.com/developer/software/qualcomm-ai-engine-direct-sdk).
    2. Navigate to `qairt/<QNN_SDK_ROOT_LOCATION>/bin` (Ex. `qairt/2.22.6.240515/bin`)
    3. Run `source ./envsetup.sh` to set the environment variable.

        1. Note

These changes will only apply to the current terminal instance.
    4. Verify that `QNN_SDK_ROOT` is now set. If this does not work you can manually set the value to be the location of `<QNN_SDK_ROOT_LOCATION>` in the above path.
3. Set the folder where you want to put the outputs of running Part-2 by running:

export WORKING_DIR="$TUTORIAL_DIR/working_dir"
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4. Set the `BINARIES_PATH` variable and create the folder structure within your working directory by running:

export BINARIES_PATH="$WORKING_DIR/artifacts/serialized_binaries"
        mkdir -p $BINARIES_PATH
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5. Copy ALL serialized binary files from running Part-2 (ex. `weight_sharing_model_x_of_y.serialized.bin`) into your working directory by replacing `<folder-with-binaries>` and running the command:

cp <folder-with-binaries>/* $BINARIES_PATH
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6. See what your working directory looks like by running:

tree $WORKING_DIR
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    This should an output similar to this (with potentially a different number of serialized.bin files):

/tmp/genie_tutorial/working_dir
        ├── artifacts
        │   └── serialized_binaries
        │       ├── weight_sharing_model_1_of_5.serialized.bin
        │       ├── weight_sharing_model_2_of_5.serialized.bin
        │       ├── weight_sharing_model_3_of_5.serialized.bin
        │       ├── weight_sharing_model_4_of_5.serialized.bin
        │       └── weight_sharing_model_5_of_5.serialized.bin
        
        2 directories, 5 files
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7. Set the target directory where you want the output artifacts from Part-3 to be saved:

export TARGET_DIR="/data/local/tmp/$(whoami)/genie_tutorial"
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8. Check if you have `adb` installed by running:

Note

This tutorial assumes you are working with Android target devices. If you are using a target device with a different OS (ex. Linux), you should use ssh instead of `adb` to connect, and may need to modify the code in the notebooks which uses `adb`.

adb --help
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    You should see many options for `adb` if it is installed.

Warning

If `adb` is NOT installed, you can install it by downloading the Android NDK onto your host machine. See the Setup steps for QNN Part 5 specifically for Android for more details on how to install the Android NDK.
9. Connect your target device to your host machine (ex. using a USB connection).
10. Check the device ID of your target device by running:

adb devices
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    You should see your target device and the ID. The ID will look something like *d925310.*
11. Update `<YOUR_TARGET_DEVICE_ID>` below with the device ID from your target device and run the command:

export TARGET_DEVICE_ID="<YOUR_TARGET_DEVICE_ID>"
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12. Run the following command which combines all the values we have set so far into a single configuration file:

echo '{
        "aimet_path": ".",
        "qnn_sdk_path": "'${QNN_SDK_ROOT}'",
        "export_dir": "'${WORKING_DIR}'",
        "target_dir": "'${TARGET_DIR}'",
        "device_id": "'${TARGET_DEVICE_ID}'",
        "adb_executable": "adb"
        }' > "$TUTORIAL_DIR/model/config/notebookconfig.json"
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Note

We are hardcoding the `adb_executable` to be adb for this tutorial. We are also setting `aimet_path` to be the current directory, which is where it should be following Part-1. If you run into an aimet related error though, you may need to modify this in your `model/config/notebookconfig.json`
13. Check to see that your `notebookconfig.json` was set correctly by running:

cat $TUTORIAL_DIR/model/config/notebookconfig.json
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    You should see the values you set previously for each field in the config file.

## Part 6: Modifying the Genie config.json

Next, we need to configure Genie in order for it to work with our serialized binaries. In this part of the tutorial, we will create and update a Genie JSON configuration file.

Note

If you are using a model other than Llama 3, you will need to use Genie’s docs to understand what each field in the config file is for in order to modify it to your situation. Keep in mind that you may need to copy files from your model (ex. tokenizer.json) into the config folder.

1. Set a variable for the path to the Genie config folder by running:

export GENIE_CONFIG_FOLDER="$TUTORIAL_DIR/model/config/genie"
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2. Set a variable for the path to our Genie configuration JSON file by running:

export GENIE_CONFIG_FILE="$GENIE_CONFIG_FOLDER/config.json"
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3. Create the Genie config file by running:

touch $GENIE_CONFIG_FILE
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4. Open the newly created config file, for example using `vim`:

vim $GENIE_CONFIG_FILE
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5. Copy the following template config file into your Genie config file:

Note

If you want to configure Genie differently, you can find other example configurations in the [Genie docs’ Library section](https://docs.qualcomm.com/bundle/publicresource/topics/80-63442-100/library.html?product=1601111740062489#components) (by clicking into the features you are interested in seeing configurations for).

{
          "dialog": {
            "version": 1,
            "type": "basic",
            "context": {
              "version": 1,
              "size": 4096,
              "n-vocab": 128256,
              "bos-token": 128000,
              "eos-token": 128001,
              "eot-token": 128009
            },
            "sampler": {
              "version": 1,
              "seed": 42,
              "temp": 0.8,
              "top-k": 40,
              "top-p": 0.95
            },
            "tokenizer": {
              "version": 1,
              "path": "<your/path/to/tokenizer_file.json>"
            },
            "engine": {
              "version": 1,
              "n-threads": 3,
              "backend": {
                "version": 1,
                "type": "QnnHtp",
                "QnnHtp": {
                  "version": 1,
                  "use-mmap": true,
                  "spill-fill-bufsize": 0,
                  "mmap-budget": 0,
                  "poll": true,
                  "pos-id-dim": 64,
                  "cpu-mask": "0xe0",
                  "kv-dim": 128,
                  "rope-theta": 10000
                }
              },
              "extensions": "htp_backend_ext_config.json"
            },
            "model": {
              "version": 1,
              "type": "binary",
              "binary": {
                "version": 1,
                "ctx-bins": [
                  "<your-serialized.bin-files-listed-one-after-the-other>"
                ]
              }
            }
          }
        }
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6. Update the `"tokenizer" > "path"` variable with an absolute path to your tokenizer.

Note

You can search for a `tokenizer.json` file by running `find . -type f -name 'tokenizer.json'`. Keep in mind that different models may have slightly different file names for their tokenizer info file.

    Ex. Replacing `"<your/path/to/tokenizer_file.json>"` with `"/tmp/usr/model/tokenizer.json"`
7. Look up the names of your context binary files by running:

ls $BINARIES_PATH
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    You should see a list of context binary file names such as:

weight_sharing_model_1_of_5.serialized.bin
        weight_sharing_model_2_of_5.serialized.bin
        weight_sharing_model_3_of_5.serialized.bin
        weight_sharing_model_4_of_5.serialized.bin
        weight_sharing_model_5_of_5.serialized.bin
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8. Update `"model" > "binary" > "ctx-bins"` with a list of each context binary name in a list of strings.

    1. For example:

"model": {
            "version": 1,
            "type": "binary",
            "binary": {
                "version": 1,
                "ctx-bins": [
                    "weight_sharing_model_1_of_5.serialized.bin",
                    "weight_sharing_model_2_of_5.serialized.bin",
                    "weight_sharing_model_3_of_5.serialized.bin",
                    "weight_sharing_model_4_of_5.serialized.bin",
                    "weight_sharing_model_5_of_5.serialized.bin"
                ]
            }
        }
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9. We will need to update the Jupyter Notebook for Part 3 to point to our Genie configuration as part of the `genie-t2t-run` command, but we will explain how to do that later once we have opened the Part-3 Notebook.

## Part 7: Create and activate the Python virtual environment

1. Run `cd $TUTORIAL_DIR/model/Step-2/host_linux/`
2. Create a Python virtual environment: run `python -m venv venv`

Warning

If you receive a **Permission Denied** error, run `ls -l` and check whether venv already exists. If it already exists, you can skip to the next step.
3. Activate the virtual environment by running `. venv/bin/activate`

## Part 8: Open the notebook

1. Set the path to the Step-3 Notebook folder by running:

export STEP_3_FOLDER="$TUTORIAL_DIR/model/Step-3/host_linux_target_android_without_native/"
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Note

If you are using other tutorial notebooks, you may need to specify a different folder after `Step-3` as that folder name changes from tutorial to tutorial. In this case, the provided notebook expects to be running on a linux host, with an android target that is not using native Linux features.
2. Navigate to the Step 3 Notebook by running:

cd $STEP_3_FOLDER
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3. Run the following command to install all dependencies:

python3 -m pip install --upgrade pip
        pip install -r ../../requirements.txt
        pip install -r requirements.txt
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4. Open the Jupyter Notebook by running:

jupyter notebook --ip=* --no-browser --allow-root &
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    If this succeeds it will share multiple ways you can see / interact with the Jupyter Notebook in the terminal.

![Jupyter Notebook launch output showing access URLs for remote interaction.](data:image/png;base64,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)
5. Pick one of the options to see the Jupyter Notebook in the browser.

## Part 9: Run the notebook

1. Once you’ve opened the URL in your browser, click on `qnn_model_execute.ipynb`.
2. You should see a Notebook that looks like this.

> 
> 
> ![The Genie execution notebook interface showing the qnn_model_execute.ipynb contents.](data:image/png;base64,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)
3. Search for where the Genie config file is specified, and set it to the value of your `$GENIE_CONFIG_FILE`.

    1. You can run `echo $GENIE_CONFIG_FILE` in your terminal to recall what the value you set for that was.
4. In the top toolbar, click **Run &gt; Run All Cells**.
5. Wait until the Notebook completes running before you click on anything.

    1. Note

The last two steps can take a long time to run, and look like they’ve failed but are executing in the background.
    2. Note

Click on the progress wheel in the top right corner of the toolbar (beside *Python 3 (ipykernel)*) to see which cells are still running.
6. When the Notebook is completed, scroll to the results of the final `llama3.execute.run()` command. You should see [Prompt] and [Begin] lines near the bottom of the results.

![Terminal output after llama3.execute.run() with \[Prompt\] and \[Begin\] markers.](data:image/png;base64,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GVKJcUquAqizdaTA91ZoBohBWZ6RybW6cvycTy+RhU6zOoi6P3VldbVG2PXI7u0gJk3lJAdjBwDGJ56Iw55rc+sDMp6L9jla3/CMO3Q3SKnExmC+XbjAsCrNRzixYmkkO8xeueneE1QdJAOv9QIKaqW50KvfX7IPXtidA9V4Y2wZz85rEgVBya9mw4paQJ/RTDXsU1Ymi8/K6QfKer+2DkqFiwfCUM6S3yCi6L1QzKutZQzq6PIgs65CWb5J72Xxnj51gCFvCNRTM1Ch6MoyJHscfFtZIkW0ScrDSIVtI/Y36v0kV74MR+/m+h5322NIWkp/N2KAEjwKS6B4oUgZ7Q3vMpEjS2OIiOl+KxSZpwAf3ZqaPvAUdLvjcpU1Um9yKc19xy/nGTGkcYmCKiTPxTedHK1HkB8u5HmbZK2tyFSOyXFO7zplFnZyV2/+++9/EXo5LWxb/GE7Mp4uIHaitFau0YBYQ0cjFXRBDVTh7O3PY8z5oN9R72aqsItjxIUmWfALwMM5xNLtgmeHgzPQ0t2YHuVH67UGwBMcZ7vlKQCrnVb4CdFImsCAPvUvwX6AD8B00qGhC9P0oywXPfHt/LD9gZ86D1uNzyhbSKrPHE2tr6ULukM+g2tpFVnjidDRFqFtIzGb3gBxxNwt82tpFV2OJnjibW0iqzxxNrukUIetyY3GXDJX0Ea+0l1lN4EMaqhQOOJtbSMxm+AKD4AccTa2kVWeOJtdxhbSKrPHE2tpFVnjibW0iqzxxNraRVZ5uO50jQfADjjKn2oW0iqzxxNraRVZ44m1tIqs8cTa2kVWeOJtbSKrPHE2tpFVnjibW0iqzxxNraRVZ44m1tIqs8cTa2kVWeOJtbSJKyYOyj5i+XNgaaSDitmxpWVNT/iQSC9//N7wA47s44m1tIqs8cTa2kVWeOJtbSKrPHE2tpFVnjibW0iqzxxNraRVZ44m1tIqs8cTa2kVWeOJtbSKrPHE2s1I28L9Qcd6moKAGMUzPsRxNcf/iaITFX3f+bVkzy5xB+F9J+sw1tIqs8cTa2kVWeOJtbSKrPHE2tpFVnjibW0iqzxxNraRVZ44m1tIqs8cTa2kVWeOJtbSKrPHE2tpFVnjibW0c6FStiOcAkw3dTmwnH/muh6lz4codoJJyUmzFMT6/8ltIC4zDYm1tIqs8cTa2kVWeOJtbSKrPHE2tpFVnjibW0iqzxxNraRVZ44m1tIqs8cTa2kVWeOJtbSKrPHE2tpEoD8CYgYv0RWl3uV/IRcF6tTTaT1Dy7rd9y6zvtTm2yYx89dq8bSvZpo9aLPGCLpGbYwlx5MY2Nxz37UI7Wh1n7DAYFUquIieRTH6cpqPIzxraj2cjYic6DX/cJdkVRVXhpdhrmlfFGwREBaGOpOyKntsi1C2kVWeOJtbSKrPHE2tpFVnjibW0iqzxxNraRVZ44m1tIqs8cTa2kVWeOJtbSKrPHE2tpFVnjibO0aq06WEVpAR5dXwrfEpgUZPDHPG5iJXAy4f2hqFXNduMy+HslFePIjdsCumd8JjDkuB5GJ2VjwWkSWVi3jcrEv8WngeT1PcNdi8wK8556I5uEF2hPz9/hxRveROJtbSKrPHE2tpFVnjibW0iqzxxNraRVZ44m1tIqs8cTZ83vHUPX8unPUdnPZHHNbGcJX++nnra+e0tMEnQohn7XS96NsxAV11smNQ3RIqsoUIN75uL1LHTqHq/aw99XSU3L3XW8ksgg/SKDTcbXszlSeQaccqc+uT1lwRVb9GBoEROBsQnc7kCT5eCKK1xMliJikyAquY+vCfiQ337jx9NNYwOb8wLyGkgambqBTZX9o3Gpq5M7TyfvR351KDLr6tyM4Xw+3qIuYJIfR/fmQEkbo3igy1pRCLyrZ64e2iypuvDUdb65hFAqiHtfmt+y/wHumvxqjaCbatAznyWMHn+DPZFFq1OvmW5YFgsy9qfYkohBLEdK0mnpaerrNyFUdQqXbgORNjz6to/CvFlrIbJFA83SICKrwj8GGY31m8Q8F9BO1Q07upRCZ/6f+kRWEbr7vAeXu1CoqhwAsnAhRel/6ZMK13+j0FZ1TRsmSuPkkarfH9vzEYkguPrdB6nc0D7C97nzws6YyH/ri6Z/Ss2j5N2FaaAiQpVuPbzSaonEv4dWDW60OBxvkBo4dKodSlfxkwLnXschNgvb3zGHPrJmLsj7IdlJRNYiJp9Jiqon7KMfl6Vze8AOOJtbSKrPHE2tpFVnjibW0iqzxxNraRVZ44m1n6FzV/ByM74T33A3e9qkR3GBzZdxG1X9O35D8rsXR453LkeZQGC2ufGnEZ7t1IWBIuya+VQ82k8tm2ih7cUtU3ldj6z5OQoOF3XHptYyZyF6ZDDYMeiYzKWPKcH8KvgEn65y/xLG4hIpPYY8mwy2NB8AOOJtbSKrPHE2tpFVnjibW0iqzxxNraRVZ44elNj7ns8sH+cRIDS5Zht9JKB88O1t1tOFT7fM+k7M7U6Fi/PBs1S1ymWtnrT/Os9SSuuif13pZw+dMBX/isbvZMiokqjwurwHEq/HunWhV/jRIwdLVOW2WExh5pNRFu7cU6K4yXHLq9AabTRO4HLr0n9wFEl54GlgsFaza9hSnwhBgPu9T1wAk9c5roU00BEPXWdH7hVZ1dkD383snwcLgsA7bDOH9iUb7bohxBJL5b2dxu+87njWekz/w5v0h0cQT6cm9IQPwOGIhc6U4xgYqaM6auE4lKtYur8cXnrVTLfK5e7oeozHJQDVID3pzFB5YZYsEa4/xDfGbRQ+d7CFCTFsOWCBj/UnoHfClSsVyLhQy0btfDtfTuaT7fxbTdCiZvpz5o63Ws4AfNDinUoa8CQL/c+KxsuHH8xNK7h00/5VDj53qT7NMAhSZj4SglunjMBdUm4y1/nWICDhPpFfsodkS7+yF89MV8ksOEoaItQtpFVnjibW0iqzxxNraRVZ44m1tIqs8cTa2kVWTK8STb97rlav0dBlTAxmonNXJiQObtgAPrQYa7TGjvQS5F2redMUl0h+RDCUpVQjFkq6xstPy2lM0zeCzOgziTcSkdN54+WEZsL9kQX7QH2RJKqPXlpyuEwLNltk4Ehz0YSmpxoj6NklRiFw5GmDqrJWCw4gBjTdjejyU1FQ+1xTSZw9M6Tq0ARQ1hSIf/HDxB7phV/i7XIk9yseTc59F0hPWlgXx7AzlwBowAVb5tbSKrPHE2tpFVnjibW0iqzxxNraRVZ44m1tIqs8cU13Krh3isRsZ0qxR/YGIh7c/OzdA5B+YvbWiT/aOHBrSa1lEatkGlh4GIQR9u8aBxxNraRVZ44m1tIqs8cTa2kVWeOJtbSKrPHE2tpFVnjibW0iqzxxNraRVZ44m1tIqs8cTa2kVWeOn1njibW0iqzxxNraRVZ44m1tIqs8cTa2kVWeOJtbSKrPHE2tpFVnjibWQAAP7+mgAAAAAAAAAAAAAAi5wDYzlhgugzwiX13uADWHcVvHcrj0fBccTQJRx5s/FQJpSGj6qReFK7yU+NwumIFdrpPuh8S70D3jp5/1uwFXlKN8aqTd29fIBiJsxX9UHB3G6K0iC5MMynPU4XZ6tD01q9FX/iUuJyOSyzEbUvgAxNE3wfaMh47Y73TPMbpMJTUXwFaGqfT1B15dC8NWGXVO5x7Gv/2YEprwHgAhFBgR5ZPbVIXBvj6k9gH++Ce2STzS1Kgpxo30VeEPJFBIPc1wHAtQmvzI4VV+jdhm/GzpbmwkEE6JYzxqi9YwoMl9UjaQHxVi8ccTr5oMaltwAenckK+fNPIde9dFMUOkcXCNQKy44Qjg9EO1GcSzx2dV78rz6pLsbvoR/rHqxrKd/aV0BevHJa0oJkF2+jWTdgE7qjyrzNlbbK8oVKMmuhK6j+n2MtmAUJJ0tCFFxcwQvqItTsS8MJJda8f+W+IBXt3heOg5tuJdNwr4e+UVDMRhZ3EK1MWe7pW8uuCfbWSKv/rd2KmPAFj5lETnDLqsASIH/J0KkG1G4A9nMAb4RLtITKDV/k2iNKYtpHuUKlKCpsS5bN5twLlewjpfQhHwNAT3wO2+EIvjLepqpO9Mt34oJCcPJXKJcTwhqOU48toxy8CT6RkjuxEvr1koWgTnhHVUcvtYtf8rJJ+Qe8cs3cedx34430ZhlNW4UOt17b7082TqEyegxmURo0hDsffXqqj51gVB8U/wQcCTs7YEvhP1di2cPe731CJLUDRtGxbOQfJbSPaUM+G6vX2NCmUW9nfZdfPn+IAk6OZuxvIW3q8lYxFi2g4Kigp0Oe5xTsXQeLu0n2VQHDUJdUCz+ZM4OnpIr76p37Zwlbv3fkWt3eL0Fi9uQ2jMEWLKQyJhvbisdvuVcMLGM+2BOCGR9qWaY0Ae7mVNMxM66SeScASdS7O/F7HflvpphlTnTJLCLgWnjzfW0Sdk2Ju2ke3TwvnQU8iOKZEpcJ/Bs06UpuDOCbiIF/YDoe0x9Nr6w1bssSy8cFbAs2d+mTpfPyFD4g9USA408HvA4WcP/cqTyod6JWkrHdbI3eXmJIfY+nB0+OtcXFYAMIpk/zKNMfPsUIfQnuKWQIYLE37aFUdUHU5NSXLkhMJFp3mLlQ7TLukjEqUx2xDeCPE3oLH2mHvhrUA6zsxWRPuKigShJEi7ZNlhES46H7jC92f3T8To7SSa02+Tqc6zgHGp6oNP15yys9MreAl9TMprkAoPRdGTtL62p7UGLAfWVvUUiGDZlpna36dUSEzL/+wqJa0ATnK2+9Ok9eBTGGHfWLcOatMAWBCoz7Jn+1iHTQe8QRf9a+YNuBvWXx6fVuUnkgx6eOMyqjVn/F0tCK/f7VSKDWguAdV74FlZFCgYG3a7UbAtWIpGaBI33yZMzkDVy0tPGaZwyybCdFNr0jWHAmZtN4woBy18CmLGYGxFWqWjNLJa/FihT5u+b8/cfs5Q74Xhw39HBvNWZIdkJvJvOTAUBPa+N2bwW6OKmhGnWPaNJaoCfnB6cLg4N7fKzuMgjWgIs7uUs1hxcN3WCaLIFPMKJs48E7IyVfQEJwcllOJmzh81+BxfNtq5WsaHyClwjwKH+0KODG4j5zz2mhLOFDz+iuGzGJdy+Tmm0xTYQDORZqxCaQ1V4mlEjJfDjtcGRnFRjcw1yKGZvufl9GWIP8Qh+AEgom3jJFs5M9sVUSyqtw4XJMBt3DmiRaCCjz2BFGKT3iOU12nc/0XVykgiTLyaL7cWl09aLimcitw/GWIdJgCKPVcF4c+2KkHF6Q+6mMkrsTMhE4VQGnWIOtNv2cTQiO1fpamZ8hhITi3tdtDCjuxr7Ggh5mV30CPk4/ZRF9b0bPwt6sPZxEiOUoapmWNiTIaZMWYIZl/7e6SG/BFJU6GgeI0F68o2uyP1lkyyfm3dVTMQC0XJlxvPXeWCiY2/Ps+A4bUPo3VNmPwZ500i8Aity9YCrhdLMcF5vVLi/vHFxjzabxsipRgoQ+zps9HPxGoJREllZ9v+Fhl/5GPBnBapFqE/u0oN5PD2rbMGofZITBDNC6hhPbo62jLbKaGd56vSfopaRP3DLGU6oEu1PHNtEC7Luc2Z5yaf+FvR1Cq9+qTO7wOGWTKkmc4/FXBwdQd0VHyyvguyad72V93ABp/HBcibRtnOFZj0yi8WwuTnGeq6i9lU/ktGSiQulYOjZxnjOCBfRtbfZlxmTWNBL1TkR5rxXsXJCzGctIcSBcAq+kBkX229NasnorvRrIj9tsZBSADRe0Dm8wkV/H785yUcdkGKl2pGUMWB81a+PtMLsfl4LYNZZDTS0R8tNrXeau3a6MWaYlmaqg5g/xgn3TZMhxAYvUiyg/3tneMa3diJexznxLsw+aWhsj0uhHJhYMY+zxFZaq+RU06gmcvWCAD0pL9a/CPD+rLBnb+d6fQEJQLQvxOgu6dkbddHztNye6nDGHURK0a1nwV12BLQzDQNW3v/wc/pRXNhPyNZNS6Y2dQ8RS93slutIkgwr6kGfjjrJet035HW0WNbYkcqSm0aCwNMisOuV+5M8LQabj1PftZ+6OXHUpFKCLs7kmhr+darg8axbmm1dxoQPtSeXrtZlnSAeKdY1HZfQJ6GfcmdvLX/rKTb315jHJt4bNvjAiBqFj3/VU4fXGz6y6R7qwKESi5j+UfUDL2SIlfXmxv9AnYKuspmjstB62mjidYOQ4grm1yYCPHUtJTZA/KK33CpPUnzAi73WwaqH7XOw4x4RWB81OdEFfQMIey5UtZ3L0Ncg9Tlkg8YoWXSrPvR9jFf1shj0qvY2nzo8zNOtzv6M657CZ50wrEEePV+rT2JU4jIaUzt7P6fvw1OJvnsq8s/DC7djQ/rpmmY9rWH3gU3HYePUKOnisstugHn1rXd3xL96W3eQSk04Ea6iM4IFiTR0QgVv6GvhrErktGehnHry+K1mRqIWQoNAgV5ChiHz0pWOFft4uca8dlaND80QGefsMh7zsHy2wNyKmSzBgqjPBrqW94KnVAobFCBYaLZDY2Ot+Sz9VgxzUbfZ/ML1qDzpCU3UKho/e/tm+2ykCa+UbBXBqaOHUaCIEuyqifV11rGDrUwlppM4/4RwDalH+DieCVYOWatQhWc7j7dXVjoeKLFAqgCMwA6ttLaAZWnWk3lOT2mQaVGolLMed/PpIa7rdyc7brgrXHnda330olGlCZnOnsfT9XfEPY5g49fzBpzo9XoZbCyuU0YYhhZJx1ywiSR0mYneZMA84XNvM+OJZsMeKpbcAa1OWqczkOMCfCoy0hFBGYLWzHkTyFSfcCZw0y4p0uuwFkQyiKd3F/hbO/sFh5uiRVSdcPvK+W/wT0YmW2YFIdPfHudH7SWWEiKqo0k1ivc/mDm0tE+zn0R22RQCn2lSaeQr2KPztT9YjfrqUHFZpPKY4MtOg3v7vyu7bdlyBj3rlBwBLCGP52Inax6+0PxvZA2pAEalEw+Lg6FoBWTorK6dG/mUhOJcFFJR6n6s7BzJfapOuyFYNH3GL9F2B98hmAeqltaYyJ3i1ajapFfJQ9ISNCKAG/xZSCY3KeckTjHvnNtLOQWTyytGED3XLP8IK67xVDpj0TJIC/bDxwlgjd+DNiCj3alBrmV5A5iUeBkGZDber31NwlN2LDaqABibEdPc0Q6kPE3N1E0mklrOXrYvXdjiMGkcq84v688I6kT8Ci1/8SnUG0sgD23TJJW3HNGHLIlbx5gcHJAJnVYACua90H/XNa5QXi2tsqc14AYkzmBbuHLUNM3K4pGb8NbGn7rBZfhk2QfNKXAXUDWaYoVQ0coRDwOBai/za3fFGLf20v3+Bso4rCcJRX8nGfIWVIrw06iRagL4Ydw0u+nEtceQC94vLRh7vVkW/bUbrXiy2vQa4/NSIDX0ScDuGtI2cpUHUy8MLonX7KFabblU2oQEOzrkFVy8+NO5k5K0zmSU5frtENzRp/N7rdPhazwka9vDTvmU0mk5y3Hl5ggEFo5yDSLxFiqh3eVbtzxcU+9ySvcxhVCx7hZ1Lz+zEnfcQa1Z1rsenxG+s/doiTc6jI6cJYruB0PzmgftPug2MAEnHm4egsdAU2Do8NEpVhmTgtC11eEvhJ7yDvBz/FK6VfOqKnq47odLGKJ2t5oAl0TEW8MomCl2ttF+blXqiHx970Ma5sdEVRjgYc54anpjvz5GDXEqcYPqqldxB186Av9SqmL3XlxyXfJbeVo4RezOZfQCNCKIyrKz6jSfgK06SouCTXppn8oZFIFCNAiLY7p46L/MturTYEkQN5P12HNGsSjGxNdtj148FKmkMEdePmjTCxyv+vfmPSbbeVIWi94JMXQzzhWeyjHJolQHlLzsMiH1pjzoHFTzpt19SST7IKQs3X/UeTNcQIzcNLL/n7T51UTFQftn8WcDYqVYVcp5jF21mGz33g0wwOIGXxIGGCf8TDdOLUo8P3tTsPGHBgtLhkhjyRJDI5GgZU7SG8CK9XkE04vZ3P2gpfJup+iZu7++TWSzxc6HPtOYzf1pvun0nXqYzDXMixFN5sqgyIPuKVysD/1/BBtSW46x3Xq9AqqVZdNbWBpl1NsK3TkDQbaL+u3s8ZjBXN7cdL9NhTzPswk7wC8ZbLpEN0BVO9OwbZ2ADYeqKqO0LMfLhmfoUtqSWzOIVlcvU+MHtn1pFBLtcO+e6RTxnF+mqHT0jc/xx2sGvmcVv17Z8CxRs2nuGmDqJWTTM48ZBhYKJaPSS2QF2BfABWevPuMJua5iLnNCArif6/Dz5OcMNvh5e7H612+pNvjfRpEjhRp2gTeX0x+L0/upWTn0zbGBqR7bSPzaBODBV1OcMtkRkx0hFBks4RAmuFSDikI/mnhbwQ2MKFLWWj9HrdFk7dLirFxDG+vVl+ajL0ESfs3HFeS9H6K7Q5aktyayKdUsi9ptT4GXefIJQyXMg+SRN8GotUl9ATVUWZ+Asg7bFsR30kgCu7qWBM2jCylGV9L86ZWB+QgpirYUp0bYe3P1PyZxN0LBl6orPGyVRTfAcZnAVNsT2ZQAPf4y8ZsImTqxY9ZbbwrNBQSgvN1H4ybhaidtaWd19IPdCnHNq+2zC+BcviezjMXgzlDdoNy15asvGpWKB9HFmwvWeL8gZi/mRLuagCcW3G94Jn53cDC81lmt8dE1T8YMaUaexZJ7bRUlbuB/1lWGVf9YecD67EeCildFV9Z3IUxMz/8o+ZYO9g8WU2JmOUIU8IaZtWyIisFF3Iu7zxGchXPwJhSdnxRaFb2xyPNrbosxnXywhze5xXOxvuvg3BsKoVZtxbsxe3zt+L8Gw/BZWZe4oevuYaJuEdXsVfnsoTjTbg3I/QXVAHjRX2bO4Cl8JSM8iMcTJfvyvrBCOBB1a96x0aBSuTVO6A4iF9VUWOYkhf6q6okoDs79o9QamwTOdwi6UmIX1ssMkxceFvcaw3imdYayyP3WsjgZN4KWcIlDb73Ock5aeMeYejw4PUrJVLURnrGmQ5/D108g96aNVnQGu7ma/pctdc8kOTp8GM8saTfO7MjYCyzSP/HajfKYc7E6ybxML3M66uE7ltp+MY0rrxYo2XuIK0BnxKiPbGde1LbPRlTx7rEPJ+hqps5xz0rheZdqN8iW/by7HSYNJS5UzAMJLTpB1jMUWiirwU3+cgglMJb2HjOw5/YUQ5wtCIb7xcmPSKrI0lSjx0df8eMfCA2t3uxBcy/923ouXXJjXN5sN6oo2C72nZKCfjYt9+6Gq+9DmsVR5BS3t9Y4ig+Rjcl/uWDF0opoDRcPZ3hy8JLxpY/XoJTBsr/jklx35zITStM1bVQNyhj4KRMYDIfJCArUV2b11VyIgU+IluImoStfmiX3JEl9brvyXCeEQ1Z59TQym0dob0JMrNO9IPaHPopC7x5fps06UFPtUSR45r/4QBhXOuWO7e1abKoUgZ/Y71dlV1OgXoY3T/VDKU/JbaOn9TJ45+GgB1WENrjSxpHKr+PMeQwWh7JIC8pdyAp4PlHG1mlyZyIgKXLKCPaEcJh5KMomTcqblilAAV3OTatCt73C+kHYiA17wnRGFsrKffAsH3FyV93+ncW8CNPuBWX4ahacG4+Oa9TjArCiZDpA9+cwfbXo+rDoCRkBZORnCghKImyrwckAXUhDXVT1eRRaVU3MiwAB9ah42AxqMjmoFId3K46svTJLJjN1zwET4NAFzffn+P9IoBfSz7cx/xf7t8aJpkzsZv2kdPSvG6hsMWBZlMqogBAP7GoYeiLEHmmKBELn7Op/WstW+ZQo5jmktS1CkV4+G2pAf5TDbDqgWP6JIpq8xPHLIm3T3qajlbIKPHkst9QK0iF0NVjMWxQAbhJJgvoBkmVzF35fyr09RZx3NKPomlNTr8DwphTkcMdh91cT9/5i16HcZMn+UCjAzWr6mb336LUmUs6VEKnGA1q/IolHPyf2Ud4/v1lVYUK6UHTUVNuxIPYAWAFnrEh7JfUdEI/sC0Bin+npd1jBhTJJsnyEoqIFEH6RG+zVtQSm1OtSYpmS7EArisgcABiet+gAgnYLvOip05wnn1/QAijRe593LLKchD6NQJd7dlGiYmhuAAHJZjzgOKyy5AAGh6tZ2ZyYIWd3eEkm1FkNSp5otMC17v8/qly02McKJgy5iNfUEXb0e3hd7zrHoplpZE+bPs3kcL5Duo8yfwmnNUijU/U4ErDT3VgpjOTz8fWXq/rVnrt57KHLqZhuCEIi7F+/AAARmIF5/HaT0A+eDZaggZz/RBoovbCLJjl4gmFeuHDUBM4APrIp1rXIi+LDSlZrfGgJnFnC2EpujHye6zVqjODWmgiDRNDIFV8j1vqghMeZGp1nxnQYT8Vo/6F8V/N+Z/SQjApT1CF36XBwYURiBxitk96PyI+Y7zncUg3xX3ZS3zVTPPO8wDHtMAqFKDOcEBDLiKZdAb6BY/kvpvIIFo23sqdZvTzyckNII5PLNUTA7EJT7yLJH3PD+JZFp82lsK/FrZUtanxaIgt3OIMApwyxTf/7uR0pATRP+uTIszEJRIhOi6Knjrp7c4HimYjuvTNT5UAQDE7Hi7s9+LgtVIMThdwWkBHHlUwg9PZmadSRzsvF3P25Ywld61+k5mnoQV0+OaQaDaEn0VXlsHM8vZ278iOYJnjeBl0jle7BAVJOwg4e4qalfQNUIFpI/VhtFSKj8iMtt7Uzx1fvLeiE/OHHDN8UQLvxBM0vo5r6vQ7ihzkai4/IZ4Lw7HhXzzk4G2hMwLV5e1fBT0GCAs1mbCqzTfoUjztDUOt4RztYlfTc/K39c4hzw82d5akyHDbVxivhRuJBlY2k73E2envfmY1vIdakmyab0EZ4nMi6zvMGQrOhbruDHMjFGW0ce2qDhYePHHBIkbLtOVSw8X/cCtgQkoSePSPflngjGrb1vWveZ6pcYRqvyBgorrf9kmRDD9SmB6BanpC2qKnE2WxxdKJMU+q61Q8or/mRU+4Je1cY8W+Lr702ihawXzLghG7WrsnxqB8s5iX6c63N9GBMCc4+t1krCZBn0EgAw+6AclJqUUaUtscXJgRctwwanTtDK50ekm36Ew+Nn68Yunr6Jiiu14oAP8fiTTnD6Xr5npmjCGJL+p2ogTvYbpfRb+Sps+1pAx1GWhNWNFELYvMAyaYrBhzHWnjSOFLsi16WNhHA1ZfW6q9l1ffiKTsjPzcVrbTrd0VG/ZQeBgaSS0LMX+/M5ZnwSlhPAK0OES+Z3T7DHQShLJCVJ3ky3gm+s1KTMfYQJEmEtc77SWEb5Di0hapIgS5BKI/VttqORq50vFw/gzWva2RLXRbubWJtnE2dYx5pMD3pID+pdkLiVaoU2h5wEGSK8rkr6c0J2GB1CEUYITtvKq099tMn03x5icjxF+kB3IlClSh2jsewVlVDuHhHJzgK67DJHy+bevOoFzSlBnHeTzS33DR7OClWAy/umf//4dAOGW1WfBcIBJFsxyteH/Y1yme2UoV1xeqprv/B5zfPpjkwr13mhf4ALn+gG1Mx9NOp+laSXlOKIRXDaJsJddv8ciBIMrtAgC/rII+mWy19QrEubvNVhHGdkCh+tQZcGr6LrL8K7z1vSTaQPYJy/tSGkw1tg5sujx0HoUPbpBsiu9lgMRVeVuVVlSzZJZp6QDfeO6w1Kj5cuiwdakZtQtfZ2MOTCIJXj6jYrX9uRWVvGeyM9i3w+WZQSQZSctYpQFfvV7BzvmWEXbh+1bRGyNEix76LJy4RXWwfMLK0R47VXMTxsPh3zfUXrk5SgFideQ3cDJRJHYe9JcQxsZXpue/kkTr0QhUeDmoVSVn8OWiJyC7O8qPA2kDHVPvEYlL2ZEqcRaJNQimaMZjmZuFFJ0HU5yuPa79GwcsfjXSY1A3M9SZX/uIi1ewN5mnKEssXd4HtKa9A5ITDtsygpnDIISuBROep+nwjqNENOawfaXeu5x0kYTVupG1DxoW6g8/TzsReOJY4/2enm+aFgrQ608TLOV8jufLtALk1cp94RzBgTAxg9IQbDPbwjDS6woC3EsZuHQXxKc+8oC4mheqKO+zGXKbXE925KJ0QEEqZM79S54tFfmAc/dBsxBo44lL/8g7PdnOnIz91B66Un3a07cjE4V3mewqs1XL1+eDZDmVc4N/GbbLbfCqvyGnvppmshsz6fTz45q0nVKiz6VKs4INIwuht2QuUKfmcGgKofirQTVUJz/D2eZB9aAO/DHflXohsSvhdZaHMGzIy9e3YMij788+tX3mmZoolKQ9lVluCL396REAOsqDPZLkRdpPwrk6VbHklEN0dpvDXAStc9/cYjH/Q6VQg0jhYaYO6ARmltSUQUCxC/PSZuNXaS9ZX6t752N48ohZ6IqlW02W433WF6CGQPYH4nCHaw+Xt8IAg+3XDY21vQ3gNuxskKUTXR638c85C4Fmw7zF3qPpaeRIZ/4c/WeNs1Dw0KqSFgL2/RMN3ae0hqTMgWhzEk6iqbQFYhgZ2uqlF2z2BKcb+Ty0vhWsIDHtX5sf8g+f3JTOor3umdciX2rnG03DLV7jea0IrMl8SlKxaBNi7A/uqfbggB8OKXumhbpBfO8Qkxxd8QQFwaWmxFfC+wbUYl0deXhkDHKeEPIWQ0AIPOQaCLLo2junbP8ACJgeCYpyM6XdP2dWyoxP8mw3NNjW9WqlvBaUc6OXqsokqlKW6xzEdtwJ2D3OzX+PDlyvuxseVI0tO7JncKG87Ng1cC9LtD6sAH4ej3Jhi1Bj1UeJxQGQx/Yv8k3i4Wthsf9arQlG0H6MgM1+uxoak0r3kOK7kdy5grrBdTqAJdvOpxJeGOz9602ecEQSx70UZ6Ngwsy2smJxz4gUlSVFYAztFCSh8yhsjLyNHKDPjwGbDEG2yKauId6U7HTwqu5imTY7bv2Hpdj73whhZDMlohKuulCumdGkNJ8ct1viYnf+thmfCTY+eGqsiAtzV+5vyreJAupeQcYDMCKhHzrZOzeEo/Mkl7P6ZEEpCnXzyDMTvor/a2/Tk5wzjEKdfc7YoVFkRb5TxlxMLxph5lvsk3/etSeXedEtTs/NUJCr8T7mYRU2+IPLYo0RK59NNu5MHqnifpI1ggo2lmQlfu0AekBWF3V5FYEYnv5ShR29RgNsL/v5hTS1euJ93WRTTU/LkWbM7i/3VtCq2V1/LdV2Le3VoeAN9xsYGgLL46hHbZRV3qUsA//v4WpQogKfjnttWwyoz5rJNlMY3E1v0AIpXNPKycMSoOlQfoflLS2/w04uoMKdshToSbPoRoklirziHGwgVhfSsptnAO7wIFTcZeWKmRumARWdDl8oxNCfVV9nQ9ZSBw2CC01Ex4Slc8fE4Zx7XUQGllIufRygSd+U/eKjOgR67Kb85HmkYjk8H+WNrZ4tOHSPAoAmwXlkwwPTvBAwpHwBCtOS0HEjryzwxK7i9abGXI/cn77j0f10C7n8zbLj6Km3bJU3dBCUKvIHZfGB7jiACZ+Te+5SoU7t43w6ydUdXkkmWVmUvNFSDmeBT4KsmZViHi1FbY40ILg7imLMp+6ZEj5c80RNDEg0EnBW1K9TfPnBP+UpaGXQISyc7TxfssyH/2VkVDyrcS/2XxLF3m5+kJ88jRduVNsYt+6XCJPn9XRooCFK2ZYJB62KLq0VgD/1wbIQ15I6L5yRSOT/NzwKYq3bidA0GUO+hsX6UZvz556p/+1ns0FwYeTa1btG4hm3mSeI+RpW1zWpYlbqkL5yFb9Xb7GvLWEZB2kxbaVPg+yfP24KZzF8zWtiG8go479W47BUk9niwrMIxlpUERQOgPNwVJ3PPMoqeROZjFXiVbHVcKjcSZ7XaNgyyuiLW+BDXVROfXz3bNInBCbx45Kb/kFJ8eeUIGjzjvDubEpLMRLNij9U9p0aYLD/0LxjIdaebLQN0X7XvvqFG4+DKl8IIhyenB6cPTBCDc8d2AhOs4AJTkMBruq7Hk81nI3yWik3ScCGc6mBL2d9oWHANZ2cRqCPXe+6ZwwfHCPN4nTmLfVfHSBSo2gpOafk4MsKVHLCdJxK4RoN3aifF91QRHuQwlrzbUn3lWM8GOAkA+gHva4c1CBPe/tde0OSKynKzzStizPyHOF6wotiobCRIErT3KCcN3l4U7IstH7VCIcdRGUmhJ/tg7emzVgn+zTeYOlmoEZWnaMBAR7xntToRNgh8eNtLGvsUuLI6ZhhOsYerJueY8pPTV7pxcytFeudZzB+hPQ6UbYHAGCh5xeXZtOoKb04l47s7eGBKCCI68QR8fYg7CugG0tQGUx4vc0T5+QybKz2IbQIT0O78V2leR89yq8bb5Y98Xs86ZClYWBB/taONI2O1nBfL2ZwOWxfproqNn03M+YdtnZYuaBTFggV/mqEp3qIN5DXWTSfTwXGxycIiEKdlu/CPx92NgpE6haLWaRq7hnpPB4NcYLn+wHEBs7alKEPDIcCe+r8gg4T96bx3XDah7RsJ0Ot2wAUtOMqHdQYQDahTWBC5abhppb7a03cSJ09gJpk755Wfp94pBPLHxUDfCwxC75wYZ2GkKPgCLblafJeinef43N2W3U/VFwEBoCP1dfr6d4qmADw7pKmEaHeAQVBt7l4FUv5BUbLDQ3Imrlrzm+Qjy2+d3UtGg08wEiVBQsoukixPwNOnoWQ16CnNuHJkr+riYdLNXVBymAUpCAMljg99OC7PZxGXSm9wv0B8c2VgdydyO2BDFSm2F0b/6HVouvkEoKVU3nVDdrIz88GzsEYPFbr4hS0A+dnrVIr4eKm+S5thh+uwNsWU6XYfBD3AHOcKyB6GMnANCM0XWLuYQakrISIZbOcyGowEr6nJxfxmtZgKERxtC2cqrJTT7kRGtC6M1gLIq16i0dbY822xmGo2/Jm2ewB2GNOUTuUYcTcWP29SkGvEHVNZqagxaAC1YGnowA8CWwXs+AIK3zIQHCwlaUzXxniHHlEY54BENTgRKCDOti16AW5iQDB4iMuj3T4YcKiUAaDF1g8ojclglkSuRis4AicERNLrHKD4+fCm8uFptuTj+dBZ4tJmnG299xkLJsbX+gcpWB+/FZwlfUK3if6A7l7UABQwz67c/X5R8NP8CXlyHvQUddpktjqty1n6ClQGFmkMfv4tKYnhWGN6ykP3f//Cm6KvTvDxqjcB9DJWQDv6IWe3zrKLxTboGUMCnYUk068G6REmTy10DJPNngKJ+x8l8qRhHpTAUHnu+xFYeOMWRnEqhVBgY6txt9AA4hygCJTzuYHSxond+EoMfsa+xgrC+hlMZDwv3chEwBimDOcat5SUtKozRzwBOjz1CZzXLFDSbb3Eq+IaYGL7SsW1wRuiwP0Lf32CmezNB7yYCQasc4C7lBwcXhzNQNNVjtFv7l4eOpLRBdlQ4xN3/0zSR4mpx5eY5A6lTpU3+eNXIYIFQz3gdaUhiAEzVjDZy2/wMAhNTavpcMUCjy3F+UUt02lhIWsfWMwlXcNQmexk6ZslHjCo6S47IQ14ziC7knB0Gv9yEeSXPdeedJmBYTeHU8VBdwgoiwAxD7+IIllO1jEFBIu2sgqsXBM8bMIaAb+SqOutq0LVbAxIys/DPLtMcGtU1pLw/VCVmB00TEuOrUiMDxaLBFkw/YX6YZu1K/LlkFnFultEz/YCN9XXAbjZsol4YNEoghG2HwVJKBQrQO0meYDZMxIupGXtoQabMxtEP+Dga1GkF2nw41TvxwGTcKM5H8TFn6ntn1Ku7gH1qzs9O2NvwLmB3p80BVzU+TYq+OhIIpyfZsUv1ZiSWQSjUaiVnYtpnRhItHnV/AIwBAEtZANQcm4SkLebRXebDoFnCd4Oe4AABvAGiVhb+O9ntbNqfgEDpNyy2mvArrtMfgAAAAAAAAAAFNN/gAAAAAAAAAS/u6eFctjxh3XWhbhLCis9OA5bCMKry7v+Z6JB90NGhuMAI8/dosLMAH86VNlq+/5rUQxsKJ5DGhjilfngf7rN97pZW8UAKqRviQ7RbvTS3DnN4ddpZUyitaeW4SpYHPGbgNp7rYZnw+Hx+Eys1c9GIYIJSXwEtIp3vzejNbVcEKq3bOSSmp0Ziuuwt4KQEtGmedUVzekfDtf1AobskRe1P4gjbX5izpY8jCXmKae6+Hk1SHN5N9TYlAXJJOQdl2SL4t65lX2ryIwzlf60iAQqGtTHNx//QGrDfjEBwIfDJBgmzlde3oD87M9dcYCLXJj68LFivcy9SoDqdmG0Nr+bNHFl2WEEX/fzOm+popda92qTGzBoQ8KVt85nATMxXaIlU2m63dpvwMMMAot6XeRwjka8LzSILVO6UdRDqQM7SnNcqHb2xV6Mbu7PcAjDA5ZXZscnEsauRceyL33lwsck8HkHlrqKR5Kun9s24C7RWxaEedNTrBcUSPwYg5ROG/HbWD2VRQNjYGNl49BJl+clZzX4BORAU89ogKKvfAwsdVFgia8wPy6h01ZhhKgiJ1cDQrS05m8g4xqrJMJyk0mg9LzowkhUmNAsu/fMC6oKpF4mZwENgrgKVXpEUJHRxoUXwKHE0rUu0ynnarFMVIlnPBxXAFSUMs2GWP8bKv/6oANXGrWCM6A5/S0AAUun7Jy1F1MFIOvDS5uBYDW6Ll+PuCdYqXsoT8DHhgg2AFo3ZcfvciSkpCNPwF6TF/SzP9JtYYTfxQ8WaetBZS4scWtLAPQZ5B7Nx093DWMSRJucGNYuTXIt+PQSrPhYhJK6FqjJiILUXOZb3qS1mvAVC732w0MdF8DupGnXM8tAceKOQfNFRkKge2UYEUZFFqYX5YG6O8Dq3uNxeag9BFuHsNkrzWWepL8tYTA7E0qy7jjDF9h4E3fpZiq0SqbFRqpqqWW7uQuOARRnmQbkPzV5W36mmN70bm4eiLHAzHOPUEwaQc9girzZ49Vw7FcWcE/528L1sEzU/5qdwlr3tUlDpdRpah5sk2C+ZqBSq+pD75WiX7aiZR4egG28Zt/sv5ew0w33/2ExpHv0TUzSnjw5V0MxvnbsBOC8JYLniWHUE/DORihFwIOJbu3LzT9SOqsGAhs5CBbfdAavo42OX2IRMag72StgIHJQ62UMWFpnZz+eB3i+r2Y1RTKztM/s2ClQZpdrA2B71miPaaDOqbxhUbzBUvKk4/bf3l6BAHk9bL1OSO9GVJjQcdxnkFn6rXXrj+pHi9Y7hn5TQtxZir4+OJISqZB/GQNtxHKErnUTnDG2Uh5aXmWpO258JKXwcA7u/gyhckoM3c4/0ITNaIYUEp5m8vGoXs2jHvYUIMdvcg8S8Vc/WEuuF0gXkstTFovnLnxJFcZwLztoSWvp0IMjHZfAJQ398G/mErt95I+3GR0WymuUjBakPGbbILTtOC+lzAEDTJScYZsSMhHe/YBD0ncsnasp+szHFJgR5yBQGuS2P0TxYT/rJoZKibTyK1v1yq3CesBTsWdFHbjv2gqkXQlGkk1qUyww5iCcVq3e83ZcLhjyLOsyi/8Ak/xHte9+C/lZvWerCKwypA1T9NQu6zmWg1QMj9mrlLJdWxxu7a5RFVbkpTdaGSzO++dGEODR33tKKDF+AZI6kQpLzld+8twBJm8wXxatqHMbrkgn5sQpJbruCygJ4ufsgTy8PW9wgafrKZfg7jmTeXiuuhzjC+WYQVChUMhHGYShqpcqfMxYZ1ozCjOcdqoRRx0DkPO/jPrrjJOvj8jsb9CyCax/yINdGaxJDk4VKWerYRzs/s2k/j96knCcJDa8R1BsighNsz3Oef0Dn3LYQ4T2RuHYvNftj71Bctuw0jfWF8Eg9IC+NJM9okUqB+A3RB10AknrDrEEjjR4Kw+UK+nGzzZdYncVPgqNB+Bx10cMJLO4kM/qEz480Cr5nqgK4IwsJY1hw9ORMTv/Vr8ldYGcq1leiJEdkKJ48my7TmxmUxNtmOnpApvNQyS8Eui4tO4PYrk2nOZTmccYL4NkU/q3zHUsJ0jZ0qrLnbiXmCw4sYkaG0ks9zOmFNT7O/G4CanNoLJiA0GAqBSJ6ShWdzzn5V1y4sA90xZCZuyEQ7I92mgy8ZfVlBZeciqszuTr0+Y6uym7k8axWTCCW63Q+aEMX6QdggrQ+kn3gjjCi5YtAUpCZv95J8i1OVbP8eJeFaz1qPqqKzwu5BNwjwGruLLlJeJQIMZc28eTb81woyY2rbKB9XCZGewZhhdefC9zAFFMDI/GSxL78ppnm/6luy57QRkRyCfXeCkdR2A15temI9ardOwBopsOCm3Lqg0MsIkfiTa7WMpGpAWrpgzuFqC9xPZQEzk+qz3mNa/lao3M8FlT7k5HjS5Vf0MORyVFM2HoGiTZCn+EhGaTcjuSS49Db9YkYugGFErVcIXfErLgfSG22JDijXhFOmv0IZPMOnb1Se4qHHOygZUUH3C4PyPUhpcXUXvSuIl766iedWbCVsx/CoZfbkbfmYzwLE8uTy1sL8BxsRlQiFbtcl4BqQ1Wxh0H15H7FWBC6DJKFERDZ9sLmBikauSW43Twg0KYiQjaZS3netKsBQTfvXs6W0EgZlNuduPXg34tUOrmkhjOl5sZyPeklcJ+FsmrgBKDgVBL3tRBrwAL37Zy6D+yC2Fy4C4ckjXJ6MrFAwbR87+MNqXAsHJP7Vnk/Jsei6JNuShMSqMH/9wUOYlg611uKoUahqYpLHDGvppR+tJK9xJp4FU/bhCuFVu91BBagTDjtD/xaIXmPOWTygNprLTmVHllnk1TB8aH9m1OE3ica2yqFDRLYp4dhKSa+X3Ep5oFCWSol9ZCNQcFKa/s0EMIORwk5HjlEuvC/uTsbENqXWwuQJSYcUT3a3tAd4212/F9m+RHL8YphfdbF6vejHLYDNLNel9/amtF8mgsaOqeqSwkZpelHjRSDtZtDayCaaBfJRVSGS5IYlfwi++9ZAf21+qF3TL/Y3owjNyFZKfSt0ZSQ5/aegh6ogMeffPAdMt69uGBLNwkX78HakEPVj2QQvjZYsfJ/Q4PV5Nz1PRTuDvTuZGVsqFMr3HaP8z6N+SxAUcizptHDSSp/erRfQdigmD21itGmMnzUa73d93TGmO+uxsoO1HDKK2rqpZ7JuyVICgSDx++BC0dm+MQWK49ornBjerELxfY2GD2V8IHzw5xOjEXAdNnnkA40SG09B4G7SqN5C1I5RBlTXaE330nrRMXP72k970J/xugygkeq4vTjAx3kLzieAt+s84NKvhZaZ1aN0jGx3qWXCCMem3J9C9UA6xIm8iROKCRsBxIIL5qzm684wgzV9SC9QAwmsK3g5wn4gzSrw9qWpxenoSurXJY43JFVU7N5+ZVmQOm6LE5bI67AAAw1vxmUEwJmgfOLhE/RcYlB1TFkJn9ynNB5m6wW9FkrcD6VavM20q9sIVPqi8vrm4KSvyWs3YKI4pFzDLmxKrl+/svHCmiSM/hPI45AoA6k87SBObMvhCEeoOeVU8urVu4rQHQjYgCqEdWALt/6uAkK4I5dbeW5CVKSZ4bWToPpM0A5i2Tg7zMcv+5M9aw2uQJeuDaNAtZZ0tD02ihDglHDWr9gphS/nSnKvDwr5xzdgT5FI2LuUswOc80IKawsiHuZWnNrf+aB+H3kl/RkxVJnmrS839VhJP1F7/cn5LPXLxXVmkhOKMBPDGgX31Ixj42NdAu2SLUSGnrVUIWXejltVWKCztvOHVT5iCeYKC9sVzxjuyiFW1bIb5EYH1ws1AUovmVlE+7511VhY7bV1OBTllR3j44FQ8QYiB0FCTkUd0xry+0048YZdjZztQ71BRx0sge8VLC/8MfQ8/eC3uz2A2yn1jxC3MzXbtDeVnlcdmY9Qo/dIqYZk9Mdf8PzkCpVKqrKtTzBudQfpIUeXDsWw6PG9J/AqR3KW0R2c9N1iEcaE4hDxGTRjMIKtXMg2ask0ry3Oz1bLG40+gK3KjSI3zG1hJ9KeBKVdJ8roRUjgL4y8T+2kLmgrE+jvmuHTFAATYiabMnBUmrARjMeDcS5bmcDKwdepfMfzegjfUJqO5MUsI4Is8GG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)

## Summary

You have now successfully used Genie from start to finish! In order to apply this to your own model and situation going forward, you can use this as a starting point and tweak the notebooks and configuration files to your situation.

1. To use a different model, consider starting from different notebooks by searching for “Generative” in [QPM3](https://qpm.qualcomm.com/#/main/tools/find) and expanding all results. That will show all notebook tutorials that have been released to date.
2. To quantize and fine-tune your model via Quantization or LoRA using [AIMET](https://quic.github.io/aimet-pages/releases/latest/index.html), modify the Part-1 Notebook.
3. To change how you are preparing the serialized binaries (ex. to spread them out into smaller files that are easier to load into memory), configure and modify the Part-2 Notebook.
4. To change how Genie is used on your target device, configure and modify the Part-3 Notebook.

You can also leverage Genie’s [profiling and benchmarking capabilities](https://docs.qualcomm.com/doc/80-63442-100/topic/profile_profile.html) for further optimization of your model’s performance.

If you have any questions, you can ask in the [Developer Discord](https://discord.gg/akBfTuX2bR)!

Last Published: Oct 02, 2025

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