# Use GenAI models with Qualcomm Generative AI (GenAI) Inference Extensions (Genie)

Genie is a high-level framework to run GenAI models, such as LLMs, vision transformers,
and multimodal models on Qualcomm platforms. It abstracts the complexity of managing
multiple binaries and orchestrates execution across heterogeneous compute units
(CPU, GPU, NPU), delivering low latency, power efficiency, and user simplicity.

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)

The following JSON configurations, Genie tools, and C APIs are the essential components
for preparing, executing, and managing GenAI models on-device.

| Component | Purpose |
| --- | --- |
| JSON configurations | Key functions:<br><br><ul class="simple"><br><li><p>Specifies backend selection (CPU or NPU).</p></li><br><li><p>Configures model paths, tokenizer settings, and memory allocation.</p></li><br><li><p>Manages dialogue session parameters for multi-turn conversations.</p></li><br></ul><br><br>Example fields:<br><br><ul class="simple"><br><li><p><code class="docutils literal notranslate"><span class="pre">backend</span></code>: “CPU” or “NPU”</p></li><br><li><p><code class="docutils literal notranslate"><span class="pre">model_bundle_path</span></code>: Path to Genie model binaries</p></li><br><li><p><code class="docutils literal notranslate"><span class="pre">max_tokens</span></code>: Token generation limit</p></li><br></ul><br><br>For more details, see [Qualcomm AI Engine Direct](https://docs.qualcomm.com/doc/80-63442-10/topic/index_QNN.html) |
| Genie tools | Command like tools for model execution, and profiling.<br><br><br>Common tools:<br><br><ul class="simple"><br><li><p><code class="docutils literal notranslate"><span class="pre">genie-t2t-run</span></code>: Text-to-text inference.</p></li><br><li><p><code class="docutils literal notranslate"><span class="pre">genie-profile</span></code>: Performance profiling</p></li><br></ul><br><br>For more details, see [Qualcomm AI Runtime (QAIRT) SDK](https://docs.qualcomm.com/doc/80-63442-10). |
| Genie API | Provides programmatic access to integrate Genie into GenAI applications.<br><br><br>Features:<br><br><ul class="simple"><br><li><p>Dialogue API: Supports multi-turn conversational workflows.</p></li><br><li><p>Token generation API: Handles incremental token streaming for LLMs.</p></li><br></ul><br><br>Advantages:<br><br><ul class="simple"><br><li><p>Enables custom application logic.</p></li><br><li><p>Offers fine-grained control over inference sessions.</p></li><br></ul><br><br>Integration:<br><br><ul class="simple"><br><li><p>Works with QAIRT SDK for backend execution.</p></li><br><li><p>Supports both CPU and NPU targets</p></li><br></ul><br><br>For more details, see [QAIRT](https://docs.qualcomm.com/doc/80-63442-10) |

## Run LLMs with Genie

Once your large language model (LLM) has been prepared and optimized
(using [AI Hub](https://docs.qualcomm.com/doc/80-80022-15B/topic/genai-prepare-ai-hub.html) or the
[Jupyter notebooks](https://docs.qualcomm.com/doc/80-80022-15B/topic/genai-prepare-jupyter.html)),
Genie provides a streamlined way to execute it on Qualcomm platforms.

### Prerequisites

Before running a language model with Genie, confirm that the following prerequisites are met.

- The model bundle is exported and prepared for the correct backend (CPU or NPU) and it includes
AI Engine Direct (QNN) binaries, tokenizer files, and configuration files.
- QAIRT is installed on the target device and Genie tools and libraries are available as part of
the SDK.
- The target hardware uses a Qualcomm platform with sufficient memory (RAM and storage to copy and execute model binaries).

The following image shows the required inputs to use Genie to run an LLM with `genie-t2t-run`.

![../_images/genie-t2t-execution.png](data:image/png;base64,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)

The `genie-t2t-run` tool is a test application to do text-to-text inference on a provided LLM network.
It takes a user prompt in text format and outputs the result in the text format. It provides a ready-to-use
command line interface (CLI) to run LLM inference on supported Qualcomm devices using CPU, GPU, and Hexagon Tensor Processor (HTP) backends.
Genie streamlines multibinary LLM execution into a single job using pre-optimized model assets.

The following snippet shows a sample `genie-t2t-run` command.

genie-t2t-run -c genie-config.json -p "Tell me about Qualcomm"
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The following image shows the call flow of the `genie-t2t-run` command.

![../_images/genie-t2t-call-flow.png](data:image/png;base64,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)

The following steps detail how to push the LLM artifacts to the target device and run the LLM model
with Genie. Before running `genie-t2t-run` you need to copy the genie-bundle generated from the
model preparation step to the target device.

1. From the host computer, connect to the target device using its IP address.

ssh root@<IP_ADDRESS_OF_TARGET_DEVICE>
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2. From the host computer, create a directory to push model artifacts.

mkdir -p /data/local/tmp
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3. From the host computer, push the libraries and binaries needed run the model to the target device.

scp ${QNN_SDK_ROOT}/bin/aarch64-oe-linux-gcc11.2/genie-t2t-run root@<TARGET_IP>:/data/local/tmp/
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scp ${QNN_SDK_ROOT}/lib/aarch64-oe-linux-gcc11.2/libGenie.so root@<TARGET_IP>:/data/local/tmp/
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scp ${QNN_SDK_ROOT}/lib/aarch64-oe-linux-gcc11.2/libQnnHtp.so root@<TARGET_IP>:/data/local/tmp/
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scp ${QNN_SDK_ROOT}/lib/aarch64-oe-linux-gcc11.2/libQnnSystem.so root@<TARGET_IP>:/data/local/tmp/
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scp ${QNN_SDK_ROOT}/lib/aarch64-oe-linux-gcc11.2/libQnnHtpPrepare.so root@<TARGET_IP>:/data/local/tmp/
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scp ${QNN_SDK_ROOT}/lib/aarch64-oe-linux-gcc11.2/libQnnHtpNetRunExtensions.so root@<TARGET_IP>:/data/local/tmp/
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Note

In the following commands, replace `<ARCHITECTURE>` with the DSP Hexagon architecture library version.

Tab IQ-8275
Tab IQ-9075/QCS9100
Tab Qualcomm Dragonwing™ RB3 Gen 2

`75`

`73`

`68`

scp ${QNN_SDK_ROOT}/lib/aarch64-oe-linux-gcc11.2/libQnnHtpV<ARCHITECTURE>Stub.so root@<TARGET_IP>:/data/local/tmp/
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scp ${QNN_SDK_ROOT}/lib/hexagon-v<ARCHITECTURE>/unsigned/libQnnHtpV<ARCHITECTURE>Skel.so root@<TARGET_IP>:/data/local/tmp/
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4. From the host computer, push model binaries and configuration files to the target device.

adb push <path to htp_backend_ext_config.json> /data/local/tmp/
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adb push <path to llama2-7b-htp.json> /data/local/tmp/
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adb push <path to tokenizer.json> /data/local/tmp/
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adb push <path to model bin files> /data/local/tmp/
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5. From the target device, run the model.

export LD_LIBRARY_PATH=/data/local/tmp/
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export PATH=$LD_LIBRARY_PATH:$PATH
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cd $LD_LIBRARY_PATH
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./genie-t2t-run -c <path to llama2-7b-htp.json> -p "What's the most popular cookie in the world?"
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Note

Select the runtime using the `backend::type` parameter from the
[JSON configuration file](https://docs.qualcomm.com/doc/80-63442-10/topic/json.html#genie-dialog-json-config-string)

    | `backend::type` | All backends | Engine to use.<br><ul class="simple"><br><li><p>QNN HTP backend: <code class="docutils literal notranslate"><span class="pre">QnnHtp</span></code></p></li><br><li><p>QNN AI transformer backend: <code class="docutils literal notranslate"><span class="pre">QnnGenAiTransformer</span></code></p></li><br><li><p>QNN GPU backend: <code class="docutils literal notranslate"><span class="pre">QnnGpu</span></code></p></li><br></ul> |
    | --- | --- | --- |

Note

Sample Genie configurations for different models are available through
[AI Hub](https://github.com/quic/ai-hub-apps/tree/main/tutorials/llm_on_genie/configs/genie).

## Run multimodal models with Genie

To run multimodal models with Genie, use the GenAI tutorials (available in Qualcomm Package Manager)
to generate the models and run them with Genie tools.

Note

No multimodal models are hosted in AI Hub.
Users must use the Jupyter notebooks to generate and run the models.

Multimodal execution with Genie happens with the Genie pipeline.

- Genie Node APIs: Used to create individual blocks. Each node creation requires a standalone JSON
configuration, similar to the dialog configuration.

    - `text-encoder`
    - `image-encoder`
    - `text-generator`
- Genie Pipeline APIs: Used to connect nodes and streamline execution. The Genie pipeline manages
internal data type translations, re-quantization, and concatenation operations.

![../_images/genie-multimodal.png](data:image/png;base64,UklGRiJCAABXRUJQVlA4TBVCAAAvocYcEv/mKpJsV+m9+NeGAT5R8MhxC17QALeRJEdS5Phv3Flw6snsOSnHkSQ5Ufb6bx0/XnDCBzQNN7ZtV83CexdCTAcUL5OqCxWg1HvNsNW2bcOMTuUd8Pw+66CMgjIKo8ooDGqRfo6ZsmD85/6GhWWb10F1zFyrYrZ0ULNkFuAblQGFgYF5gV9EBwZmBf7MAJMC/5QZYVjgamCAAYUKDAz6Xr4iL5FlciKkcTLOiZFPQkKECEkBUSSlxCuSQEQghQgpIJCYL0ldB+OMa0gQoS+SRimJKIlBRJIUIYUcCFPgiEhKIqQQQ5JaDNI4IlAgEUmnx3aZnu9ht+P59ft+PD/ue3n138FXH8bx44zuP8/NdP8/v39vz+/r8f17DS7369wZHG+Lz//D6Or2sT19/t/B67PHw3X2+Xs8v8/3z68NFe/7/jJtnAShjSRJUkQmf9RV1bv3AIiICcDvsxAiqMmDiyEshlx/FRUERVRUGCqQBCvGfJBVNauPqIcm3igoaguKyvIfdn3guWnLo899Vu2LuKLS+aKS3Y/x8z7MAccaMs14ZJkefDDxhONH2wNg4RTXJPFjOPBkUBVwPqitjwUQ2N5BBYHPVvxukvg5DI22n+zQtr7C1dZ3bE/br8htFAUdBoVR5aswGNZTCjOTlpm5DUrkhTAsM4VzhypdLVPI5ax5oq1wMoH5XzSjmW67bc35zTnpQ33eiP7TgmRbbtv0IXyexQ1kxMdsBCB/0rJtt24jzX96/frtuVRJJGA5KTq49CEhY62I/suCJNltm4ZoKOsCTmBQMvHnW5IkS5Ik2/r/j4uXvjjA3P8lQlWYWcwiqiIyfEJYNAQgov+0IEkW2zbzyDCCTdfe4eHtPZAEQfEP+/3/k5VGOhXCESVuTYdwlHbLcrMwLZKghBAdiSLZsBtxshAd23Y0jPUkAdzCDFnIGJp4hBw4aCfiRNwFDY0bcbBvn/Hx7Pv6v8C9gFJVvVDfQ9WvvrfeEf2XBUmSalVZyHKuHXhy0WP87daV9Zs3rF6ZGUWxcYNb73tl66rMSIrfMt+2jRhL2bSte1mTwcTDT/93nVEUN/3wBFCnjk0Z/GqdkZRfARvnbAEeXGcopQa2+vWr5o2NpaFfvzljYp3BlABuA1iTiYUNq2HaZPI0rF4J/zWZOLBANJoCVP7Df/gP/+E//If/8B/+w3/4D//hP/yH//Af/qv8h//wH/7Df/gP/+G/yn/4D//hP/yH//Af/vvxH/ynt3qzXSz/9S6CflOBLV34w0wP/hs0zs7l/yVxkwz8GKrDuc44eZW6Z7pM3L7b8y1+bsjx9vHjP29KPezFyeb+1CLXa4CCqs8XSvfCHZvrUvWqcu/1Ugj6JnNteYz7uPMsBpuMp8MPMhwTFmRjtP3itgM77xE9WLGLRKSKGNa40cdSgWGHute4gvZgOjbjTqFMepOIe2Y5RsZfHucUdKL6dIpXhnN8ljNmpu8qqTgypt0Fj1XVve47kmm1qwwU/nziGKIrWOkcY63n4L545BkZN+cUOIsXfKawvSAnhALfjDtOjkkQYTyufNrA/vD4teIYI76AnVC8D1wj4+WcAmfxduyp2h9zmtrGMrQIL4vRddK9up1sJ/Mf3syUw5ED+FusyjqmCow7tnvtdkYo4Tr978zW68GV0LxW+UbGWR7vFDiLV4/RnYIw4lUQUsGJnVV5votsRw80DYQMKskfMrYKvABwLQWVDFV61dAyBnbHHefI+HinwFs8v8B6lQfndw+kKhT+ZtyxBoaLmF84JH7acDz5IpWY3xhE3/ydE+fI+HinwFu8/6IN4W9w9IEDWehlO1bNpAGbLqqmP2kY9R+yXws6mTn7gynjnCPj456Cts+n/xBuhLHs98Fs5zXBsu2vwMMzAWPY/qTxIGSZ7//zeG1DdCjUWRnR3pG5ZAf+2Qf94nWHL+qYHQYe0DoDgTtOjrUuBkJWff5QuqsYhrK3cB94R+aa8iyr3oXIqEPtkOH2/j+2PTc7kd/PPaA3UnhH5imt8GNpEPn9nfB1JeXzkMfAx2eRuR3ekbnQfw7H84VB50FhOLw8dvy7U3l8qnkUepl4bDEcnpF5Wp/YQzew5e9avqpY/24unpEJdfNLLJqvJcSevym6jIpzRHX9+7UEXmo/lkZY0DcJphYeX1I81iWR1O8KPDIUr6K/oigsNGmxe2QCnr+m7hbq9O/3BPTNmFjmZbgoOyqqTyyhBiYMvTc290BfQDPHyFMZ19lk70zqc0xlMCLrq1ihhlWjL3vsO4LKjbPszzooClF0PS/T8MWc3fD022h0KDVK9SecxwLo8xS9XzLlRfn1nzqG24VjLCtUWGYPMh2sKaulwVEU2lQI46yLvWRKo4hUmffrWiGFGWzQOGA0JpB2FN8sFcJ10UhGRNzPmyqG7cpe4beJmff9WfAlUxrG1vcgNmDz0IQRYcOeeLQaoGkdIPpxpVITxM6Uw8Cu83GKBXSoSPWK6ITW1kVfMqWw6WedcvdmZNmsiiFw017eY7X8f/EVeWGRflXXb9ZlEJ9rUBEv+3J4zj+2befL9Qyolt+gz0+VmaNRDHUqSNbWRV8yZYDDQbmrc62OxTLYjVJGD/FU6Yh9fOTOoF5HR7fj6cfGHvaTweV6BtQJ3aGMXYY8nFLBl0wpwLapzEhGP+4KIPzw9Ms/BN5v8qnLZtCIM1Jq+v9X8Frd/A7s8YbKYV/s/zDq/kuJrlY4HuGy/+sWYwcTplz1Az3qhPT1m9ZKBow4eM/MIE39H22tXvgOVdK03ZvoYi+ZEgEBj7Kd7vr0ffarR1Uyj21sqSvUujdLNL0+bPwZKIgPbVEXfAZULOsjWxb6TIVdqt1RkpfMr/zUIjUhtbYv13UckZeNPIQf8L5kOmip3KXEUnzd/xRnNnFdb1pmkSkDGd3fn0aRqSrjFzg5s4irgufiTXCsCrPIr6nzc9F7fIlcXB2NI7/zgEflM5D8/i4fYXc/2MXO5Bnqt1f64z9j5I/WGk+Ayn8//kO/VJm11ngCVP7Df/gP//34D/7Df/gP/1X+w3/4D/9V/sN/+A//4T/8h//wH/7Df/gP/+E//If/8B/+w3/4D//hP/yH//Af/sN/+A//4T/8h//wH/7Df/gP/+E//If/8B/+w3/4D//hP/yH//Af/sN/+A//4T/8h/8q/+E//If/Kv/hP/yH//Af/sN/lf8wzUzPzOm9GmJDPKYoiZnNikQ/cFuRKUq22AKshvBLoSlK6EpH+HIqMkXJXFkdwUyRKUrmSk+4Wso/RclcWT3BTP4pSuZKV/gcVso7RclcWV3BTN4pSuZKX9iWRco3RclcWX3BTL4pSuZKZ9geYMozRclcWZ3BTJ4pSuZKb9imeuo/RclcWb3BTP8pSuYqSg+1rhhlrqzuYKbfFCVzFcWHUleMMldWfzDTe4qSuYryQ6UrRpkrq0OY6TVFyVxFHUJM87/DZK6sHmFm/hQlcxX1CDF1f4PJXFldwkwG1nQ61tkEUeRYrD5hJrMyJxL1CTFFoTMzHPLnB26fuAUljgvpgT/v5KZ/fecNn0Nt88UbQpqWJk/chGIniFw85UeTmSpn8kdBkPzjhyh4joQu/QzBfah1opMi4VbgK+NjB+81osQxCymPbWi86Ea/hjlrl584ut+I2sa7uDwB8GsZMg2wbO8RpY6GAO57ePbubE7j0BFVTiID7n5WgPzjVvj0MSPKHcXGhG472wRwweiISsd5YOLP8uO2ueXIEQVPjM1hl407y1kjqh3bOT0rPZ4AusYKPgT6XaVz7tiIeofOmdLjJlgWFD0hBK66tu5F0U9JdvwZvrK3qtMYQlf9/ebM0BUlP9OJjgdgfETZUw497nEvXDCi6vFwn+i4DcbUHTYfueonKUaVnQOmJccEHKzuFkKta/woozGi7iHjR5LjFthL3RkIXWMy41CFl2BScgBB4QO46OW1IyqfBNPak9/AcqXn4dfakzvhRKUX4U7tyQ0wqvQcRO3JF2E/pefhc9oTIKh9gMp/lf/wH/7Df/jvx3/wH/6r/If/Kv/hv0HSq+25+A81sn4vgcEWzMsfKqKMfxnfRnO9tv94+sD1jO96I3M9E4wQJZvRcryRVf57U8o9i66+Hz1LQG1W1h6u83PRIykOrvtZrn0P+Z/mAmtdYsxTQRtkfWVshtWn854v36y43nQ0DhfEGIqyFE/tCj2NtcvF1Xkf7ymOU1SDw3NehCg+zJUeXUFl4knhoefiMiSKETrP07nyqfSe3zuzn130RL2DQdM+13ir3rwkD0/FbTBTxV9iTZSziWG7fo82B59/rY9lrjVULBvimCg+sB+Jdc2uTkydwA0ZWR5LrICQrN1X3Y3esd2nb4zz5KFnF/cpnVgwxRvduo1CgScPF2yDGKhKzMVI8dSI4S4kprnWiBm8Hs33S67TamXNSkJZk1TwQZwYfY2WuBE3Yy8klou5V0Toqn1XR29bLbvIwSbb89pWjYsClm3T76habzy2TNveozUxurQZzcdhPLsoMwfwWCMKyElz+xNWDZUp1I6lymWqlAujeCGhrLmi4BunRl9lOXGKrIXEcrFWRDDYPs1trfE2P0jwHHlkMlKBaMJzY11GEbDxeJMBNQ/22Jw09y4QDBOqEJlQiVSYHA/hG2RZMwllTVbBxyarg50DZO21hccWbYMln45LvoDkcnGtqlhQlN/VoRb1OorJYHdDI0rvYDujp4yUJzctClk7NujOSXPjU+SAcTwz0coal9hLoNPMRkIVl1bwIcZkas7hgm26dMSxs+sht1ysIHgzyd+Gmuo4ejAMo94aD1W0u51ViJCiTTMX/nGO5s5J8+k0Ygw7QZXTukWTvomdUqziEKkVEO6asNRiM1eaqHOGXQ/J5WI4YLbGVR8aJqLxAqOGSSgxLWoWQC4YWVT6IimC5l5Q09wOasQY9BC21BJ1cj4ZG5FaxYHbiyqgZvzXRKrpzEyK5sotF6OAVv4OtavFu0AVcdAyHF+asU0kkBib+MFwSQnII4Oa5nb8I4aQVeY7fL81uSRKrXqYrn9RBWSQmjUYVhZyr1CKsHEvpJaL8aBpFzIaFmpzuhwEl1l0ilC5CEdUx+6lDS9NIad5HOVUULl1ixfUKg7cXlUBxQy7xVQUD5e5UHMzZJaLUcHU0If3F62qsxnKLDWa3AXDBsuIDjUr8LLGX+gNFAlVXGLBl0IxuLsbuJc2KzwMcrkYGyqG3rkXvZoyk6aYDBIMqjeoDKgoaR5SczvkKi5GroAkSkwTKtoY0aFmCrlcDA5UwzjQkgvV7kMrCHt/lDQPOXcP1cuHL78yq7ijVEAZZBhUIeJ0iUjl4p8ZCIGzSbkHvhuh0mupAUZUWrkkVHE5m9ONOCSRZgqpXPxDhNcB6KsIT/HUVUwmczdipdeyowbxl794IJZOL22IDvc9gRTFi+g0xM38Q1h8qDbQqtA7MvW3EBzd7b0wEl7Q7/YpAfR+Sx3OKkducv96t4v1jTEoCK95IqWtfyhCiboUy/HQoredVWpIf+vZKqwPDWvMgny3P1J0xnWTnU3lc1n1PBGdQv+dxykdjiKhimPN6kpGjocRHW9takh/PFDUiBYXVN1ZBDKvZFD089o6Gpv0wUcN6e85mR1OpTPpdOLel+VehB2mUH88oB1MH2OCzZpADTMdYWzqaAcOLWpAHtWQ/AkBrHhR9KRuZJditPG9tXhb4zM3i2Y5pD8uDFcvG8oKFeZhcoCREXKBy2MDUSmaW0zzcFN7RQthlPojEY6zURwKbnxNhRhv3GpI88eFU1iPq8rI31ivU0vpJganSSjhiXGNGjGbFDVCHmdFTfNAw6oa0GxZM2IVhxArIBVU0xGppjPTKZpLLBfjQwdeAZwnHmDwRp5VShfS5TWGJKYoGUYqsCikY+CRE1pO8wBjrcFF1i24EylVHNHz1QpIBG6hMDlEPGQmm02sWi6Gh7N5x/IECHcR18KjDfQvu+lF4atCex/jkjhDpQLGM3Ykqpk8tuNzKGk5zQOMq2M8taGWNSNVcfgiV0A5eOvXSAZUwco4RhtJ14pcLoaHM8xr6+PNvNU6tYTy2dRRB1SkXIwcDy0rQE3zCGNOwag76jdEWdNxWTMJZU1iwZfDMSjp6MwYnYASUbeBs2SSy8VgkHPxQcv4Wnkiki5zZJRcWIuntXDnyCGtfQ8xfqWvfVstayahrMkr+FSk6C2HrshKCKnumCCeXrCJPUHCIn106ngE6KPDS25r8YiDos+KluYxRjuHLTrHEGGMfBUrIBnBv0aLZ6yF61ZDqrl/tN1swJt9t84VajWt7v0I2mIq1I/VoZ32vpqQK9I8vk4jUylpau3jrLImq+CT4SVPa/EwkRvY3oJWLv54Uvw/opQ/xtZ9WckzvK15L2sCu8goa+5YAblHqr06KtqUsq0vKRdF1h1nin9lHfw7OOtjXE9NbM/feC5iykDG8vNzEQOM0LP+/FSE4+NPRMeqeC76j8nzc3kyWmzyQI7PRnfrYY5k9Hz0D7mn0JEinppeh/XjP/gP/wG5j/+UGP5/IKqq6sd/8B/+g3HiNyBz82+B6JkC/RuQufO3QPTZRvpUazf/uof+SOOq4i8e6jPPCh+ZlqDhJ6b9rNNbn2tUJSkdHP8PkNwcHffuP8+4sH3d+bda4M89UwUud/66h/4Ec9ERkGnG3GLVw9C7rHN2WZ96hjC/G//6CiqejcEIhEck859FqdEwNBCvspCKTztbiRXXUCacrx2ez3OsO1ZN0Tr/dg4rAxkehNCw0uQINof3ukFAWV5uPvc06IF96A7cxNaACjRMdcI6nX0LY2yVPNgn4RBmQiQp1FjW+hyvzzyGQmD3Z7o37XVGZDesOqximbH1DeV8QAqv+vSCIGv58ROPiQ4PfZLfR0Co7gUgcvf/a9mxjFAyoAimlIIRiIGRFQfyeWeIHmiqhAJShAJthZeVhyeDG1TFjDrhRI1DlOVPO830wHiuxSmNCzQKRlYzkQxl4txsyEEu3KujwMv6SkDqjWGfX42TQpRVIa4RsV3mUAz+5CPOzcxtEWGBpmAPK861grxTqKj2RUEhYrtMIU0q2JFSr2W+Erjx1z00kbj7V5UyQxGIZwu7eJ5J8IJ+tyv4klqct2UD14Hvw+qjPnn5S4RZkO/2/QClqJ6ITqEpvmZeh1VHrd8CXjxkyWMSRahhvjggZ1+EHaawAp56SNqJNZoZAoGsrw3Q7Eud26l7GHa8A4MOIavBezOkyjoufzGgHpLW8U4AgTw8GfY6uLBmV3BQmhVKVlSl+4uBG3/dQwHu3t8C0RcBbAnFml2nvbdvex4qvN38WyD6UuDeX/dQlDtWD5Zk+aDpQx1h4EuBm3/dQ8GN9L7g/5XLHGJyR1y/Frj31z0U6M5pdcAZMJglfE0zXwzc+useigILVO7+LRB9NXDnr3soCij+H1HK+G3dd/+6h/TWeG3g+A//4T/89+M/+A//4T/8h//wH/778R/8h//wnzr4HOyn9Dx8UXtyA4wqPQdRcNwCe6k7A6Fb3AknKr0IdwqOCThY3S2EWrdIsFzpeUiC43YYU3fYHHGLaVir9BJMC44HYFzdlUOPuqXJjEMVXoLJKDj+DF/ZW9VpDKFr/CijofDI+JHkiDfBMlUXQqCuMY3KX9kB06LjCeAYNadAf9I93QsXKDsP960THfGH8OkjVVyMjbrss9icqejOysAJj3/cOndS8KFiY8Kkm/o1qv5/q5JBisIjTgMsU+wb0xAXflHibkU/kcHdUXzEaQ98ZXzsYEXeqoVZSHlsQ+NFdZlnJwCr5OdOPCtA4j9uQ8FzOHThD1R0Theo9f0431n+HCVIjE/ctEB7O8aFWhAl3diznTNpqPNHhhMZcPezUYjE6B64beKWhVfb2gVYGH3U4953p38NwNrlJ46q7k5AvIvLE3Tf2gBJzTMnDtj5832ode516/QrMU7/aFKZ/z325I/CuqhliTGGdOcNX1xovdK27y2oPndDSJ2vDIsIWWat/SAuuKn8h//wH/6b9R/+q/yH//Bf5T/8h//wX+U//If/8F/lP/yH//Af/sN/+A//4T/8h//wH/7Df/gP/+E//If/8B/+w3/4D//hP/yH//Af/sN/+A//4T/8h//wH/7Df/gP/+E//If/8B/+w3/4D//hP/yH//Af/sN/+A//4T/8h//w36z/8B/+w3/4b9Z/+A//4b/3IUaHzp3o+LT1SE1t/QcNhvpI49ZPO4JzQ6MiyMDJo/d2cR9FRk8MCB4jF7qONPBAMnHmQiBwXO3aygTtb65cW7SysCBvYe6cLDIahaZwZdG6oHn/RPO2teuqqDHwVS1pNZcnljxi3UdxJlHeTFq1Xxkh42rndlKrKl0+13oghbEhbVaDzox80d9CSjtfXJZlPdDQcGfqHJt+0eLOybdgzI6yQmtaColTZvstc0eqGP5FA4x5aak1jVFuA5gwlihGOgF4d02uNc3pmgCAzhFxonePPWZLwnJEiRBgT68s0VcPULnEckyZAMD0yRGDNQDVKyxHhbEBHRQiugGaEpbjSiiAkSAGDgL7iy1HZt4HwmviQ0/KjSywHFoYAPTIDsOHGPOc5eAMwKFYcLjQOD51keXoNADMBbHhBECR5fiKAAKhoQOoK7BckImBDonhVguwaZ7liswrQMstceF6rQ1llmvChtrrwsKN2smuwx1XURuKCsNvAyssV4UNmVhQGN4OLLdcVgwEw2LCUD2wzHJdCpghIeHW9tRHdz4Et2SEw0Ch5cpCQEWE9vSxW4ftAkJPyiJqXZsBesSDM8Bay8UpEAoH12zYYLm6DcA12eAgvJ7tbgabUDToAn5gubwAyAgGl2141nJ9AXBZLqiBjZYHhI2KBcdh33wvQGwTCgUXgYTlCSWAizLBEVhveUQGPhIJ+oFHvEIMnJUIaqDU8oxeABUITsHuOd4hE0MoD9TDastDCsCIA702dZanFEOvNGAg4S0SsEsY+NZznkfRNghkgRYo9hoGWkSBISDXayhgJIHj8LLlOQXQKQk0QqH3CMEIAqfhDcuDCkHlgM+haBr9R721F1rPPy7+lAOfywGNsHgavSwML+dKYjBiwCBss6azf6w37JTu8pdiXZICuqd9H9oWypRd9vWft61LCqiB5WOmf9LdlkVRFIMKATeBh63pbdYbZtnVPAzclAFOQ6UVRU6YhJfNubxVgvrnhUI6oXjaGT7adZdrVAzH7+dNGfvMJftWAa2peyLqjEnEshv8Qet9jILAd84WGNTDwnEOuohvcxstBHMfIz+6/IM7sM+KIqdMCm/PLVoMd6Y68qfLPxiAaiuKHDMpegnWPaiGgamN/OryD/qgYoxjJkXL7sFL0DeVkX9d/sExx2xc0j/Wm1sti6LV8OXkIz+7/IMv4AnLGa0xzbrsLsTwxWQjf7v8g09gmUO4gjZ3+lDyZuKR313+wREosBzSPwJ8n195H8QTjfzv8g9qIM9ySve7jULQ9JEfXv7BW7DAMV5ud40WwFupI58ev6DGWpt/0Ag5lsOe/eNGYNM4Ppqq2CPTOAwO+fcGyHKMf9zuTyLsf/zf//f89A1pcBD/g4M4WHwn+I/fCu98aBqiX2DzQf7R3znqhbnh3bAx+u9T93eeWRQgIp68Uui+yHzHXVeV7/VXpj5Qz0zjlGbLdkPrvV7WRXf7h9T48qXZ0n1SeLZ/9x/rza1eKZw68N1Ls2XZ2tLUNolijeyGR1vSf/fVS7Nl3GJttFNxW3THI9aq8bfrO+rpS1jtoGk3Oz2KKFoNxyb7zk9fvDSbb8+Jjtw+irrpOyeq8b1Ls2Xd+3zohdH7z9/n3ecnH/japdnSHsFL+HaJ8aLbnsGL/rtvXZotchRkDplGCLnxWZDpv/vSpdkSH0lmeEoUcNGdzyRT/913zs8W/PGui50xjfukODc4G+fO+3pb+uAMFj/RgGOmEYtu/okGfHAGx58KZ+772Q8fBm76+wx4P1nbFPcA53aLYtCkENAFZc6Y5rxJ2HRLAZdgW+RJZWBQCtBGWOxFYjAqBnwORV6kCEK/n9fo3trx+3mN7vEqQaDTs44anO/PS3TPK/r+vET3Xqko8C1kvEYdBLKA7vKmo6jt//MC3RP1PkAv0NF88AF6fY6Iih/QS3NUiQxoUiA4CzziFWKgXyLQj2C9VzBwREWCi3jGLSSAizKBHod9C7xAGEOnCgVaAxu9AOOXEQsu2/Cs+wXAZblAu4AfuF0AZFQw0IPwera7GWxCFQ2u2bDB3TYA12QDPQOsdTMFwqRwoD3Ac+5lgB4VD7TdhmVupUB7UkDQw7h2i5NCQJMiwq3tbh0qENySEXSo3p0PCpihpJCgwwGw3G1iIBhWMUHjt4EV7oINb8UqKOiNWly2lwNFwE9vqKig18cfytwDG2qvq7Cgt1qATfPcwbwCtNxKiguqHUBdgRuYGOhQlRj0BO64iiKAQIUGvdAIVC5yNg0AcyEpNujwIZy+AFsDcChWwUG1ByBw7Ha9hBvt1IWoyw567aAN7zt0p6ZMAIQDKj6odgM0OXAL/hIKYJIqQehgDUC1w5a+hLEBHUwKEap99Sm3scQ5MgGA6VOVI1R799jAFodcTSIE2NOrKkvoSCcA766Z9n2V1zUBjOkcSYoTqvEvGgAoXzqdeCll1k0Yq0oUqndOvgXAjrJp2n6KkDhltt8yd1SlClXtbyGlnS8uy3qw0HBn6hyb/qSqaKF6tXM7qVWVLp/7YISxIW1Wg86MqnyhqgNf1ZJWc3liyX3t02icSZQ3k1btV0ZVZ3DEy5t3bWWC9jdXritaWViQtzD3X/8lM0ej0BSuLFobNO+faN62do1fXtRQ1ZELXUcamLT/DwImz8SZCyOqOpMjdpaBE0fv7bofkdGTqZ9SnOERQMvo0LkTHZ+2HqmprR/zgYk0bv2048S5odHkeDNBYmmZ9BeVMus//Dc2/i4I/m/Wf/gP/+E//If/Zv2H//Af/sN/+A//4T/8h//wX+U/U9ho/9GD9Q38Qb9X2vY9hD8N9aFGsVe53UFKfn8AEMWepHsvkgCZbu9xt80Gqovzc7OsP+jXbNtWEP5kaWyqbaDtrscIDthQVRiNNwNgGJCwyoYDd73F+LgkiuSAKMqMDz1FN1BuyQJRuQ3GQ9zeOz6WBqKMzd7YO3RAlSUPRFU2HZ5hNAOhRBDaEHuFfqi2JILI2PR7haNQLBMYG/UKByFfJohtQq9QD7kygdoYr9AAWTJBlo3xCkAkE0Q2zPoP/2leXrM2VP7Df/jvSZ2/1q8lRV//R798m8XbYpm/LdRbe26iF/wERX8PZz6MOc7t0ufvtT8E1zPrTrO4/c0AXMbfc+9WhJH9vQD/Qz/+88ZLz+IQ7bvhZfieaUHXLMJaln1FqpaAHIfQtYaoI8U47aQE61HsQYgRiuE1mPuoZ7qiZuQZQ7hInZP2fHlPJM3nEBI9nPZNIJJlMVVQjo+rgG84ljmrTj59zD8ERSdniEjJabTCpAjF9Xji6KOW8dA+t7oLHredh5E4gi7QjICyLaYK0S5EFwwxFw+RHzVDKgPXmBahuB6PXH0UMi5sdGiohQL7pGGsDjI4XgOwbGemagoxRYSYibmXWKsZ0hi8ytQINVkHvj7qmH0qEO2Da3bRBJ4xb22VuzTt2rZ7yFnW/vDVLivKRKx5EzgpqUK77qYaR3i8h0ilj8RhjHuQPmqG5F24E68Kp0V438Y+pq+PMmZWQUgFJ9ZQ+ajzgylkqxCvMpAKxKBkyKnaIdzJZMBc+kLoGL2vFzFDKo2mwmkR3mnsYzr7KGKa87vmFm17s3T4sXkQUJZjSyF34lWrqQIYZ3ZwpmVwjEjmHDVDNNjrciKU12M6+6hdBGMw5RsTGkoOpMzDTC4GR9HxKE+Ym5oq4C9iwicFwem8hSFmiIaM0HKETECdQL191C3ESE4oMRyeg2UEmWF2DGtgQ4vygpwq3pn6rTHFgAqKMTN9lhkmAZdFeOeBt4+6RSzxTT3wP4FAGW3vlheQLHZGxYhayElVq1OWUJsKngERuvgMyTRThMgRghVl4e2jZCHVMFIGeyc/9Fp0Hwogi7EJDTlVNwPFSCXoTugRiisq3X1UMSOapcMX9twNU0olSk7VzYj3FZKyNSqX1iMMV7KHPSwB0yvibqnemaPBiRIoSlYCUqoycEcvXkqkN6j83Qk9QhVPH3UM3YDv7FpuBdUSkFLFgiegV9HviCYJwzHx9FHemLEV51JXMZdixWGmbgAWdl+YIK6lpA1zcy7gvF/opdNLm2/ouBb642ZLW5Ci/oZNJyjefrzdYi5QDT1VNI3f5Kn/shbfpkXkTHC3DxQu4dfgd4QX9LtJHtO7oIhl62NGFKJDUcSa04lTlQNwtysZMrQ7oUcYkSbtPgqbyrh6k53NqPSVVCZ9EZLPze1IijAfIkUMq0Zf1sjqEudfFLFxpgNSdXtQbqkc3Ak5wnilmbT7KGfiIVW/jaYHBKqjMgB7ywak6lIqBZB2ak3ditQItyOPdXhS05iSM4NlhQoJEn+smOH2PlpFTJUCjrBzUNbWqvpWZEVY1j6ms48a5jShZ6oG2Mawg28zsEYYyq5hZIWGZ9Fv1FQR0EbqQvRCQoxwTdwKNUJ5Paa3jxrmFBLkdUDmXGUfirW9fLwTegrR21AOLUjzGzlVIVQCHMTPMThGrBrKuBdqhPJ6THcfNYwrPNZDTxHXhoMtEjx2W7pUtx2dyOVgWfMW1qIr4T9yqng6OrOjDuKvodInxTh2fA5O90KMkFqPu93HdPdRwxwzx+gBg626v0v565YP/zPMIZ5Uv1FThVECFNKXGOPN0CJMWI/p7aOKOabHYxNS4awnIuUyxhIHD+Sy34ipQmgXG84EA7Ji7HM3pAjF9XgbLtwZTuKF2wFX4Gz4Hbkev4hAsSSfhRbejaOt+42WKgJe5PgcaDveSYrxnNshRCivx/sBfQxfo7G49/fFuELttCRs1geqeNPq2R8ku3uqeibhk2x0QoKnb9MBLowwq7vXc/Uxfo3zgqdVf5+bZFofk3lqYntexHMRUyaeXdDPRQx6nt6sPz8V4fjQCtGxFZ6L/mPufFK+WTLiD32ejjinJ17q84zEOd4WTPsZ6jcA/OM/+A//RaeWtc3Kf/gP/+E//If/8B/+w3/4D//hP/yH//Af/sN/lf/wH/7Df/gP/+E//If/8J/Wrm1tqPz3xtNrPTOn2TPGkFa7QIwhzQJeM4e+3CrQ5pBm/jaJrtbK3SaRZt42iz6H1crZZpFmvjaNtmXRytWmkWaeNo+2B9jK0eaRZv82kbap3urbJpJmvzaT9kvV6tNmkmbvNpX27dvq2aaSZq82l46PotWjzSXN+W0yHWNSa16bTJrdbTYdp1+rq7Uhj5ZUbG7+OT8Nyytz3kaS8tVUn7fkCJlRsK6OP1D0XtsiUEkrjhYXiyr4w0WvzLVMJR0iK9bCmHfLVpkF2X+IuEiQpXh39GI+kwFEQZG7mTHlxvLT5McB6iglTBOwMT/y25TIIHoZYQCejvw4nQLgJURuE+xYGvlzImXE/QVElU28JPLrVCe4XD6sBZZG/p3IIEqHRcAzkZ+nk4EoHCpgY+TviYwkGwyQ7/ORAC8a1kG55fdpHJJoqAPj++EhSYZHIYj8P1moBUMJlPmAkFELhgpY5QOyGJJg2AzGB8RDLRiaIfQBcZAEw88h2wfEgxUMQOQHCqj8h//wH/6r/If/8B/+w38//oP/Kv/hP/yH/97/aFtr7S75WfhHvba+mNT47pZY91Ygl/w7/uXBXVZuzVJLG1lX3WoyMXDrXJBTLtU0vhe+ixu09XquXIZm7ogf6KVyKf72Wlzf91w30P9mK9cT4o99D/qc6sH7Ip2ea5dhVd0C8+OGSrvxkxDazTwPMYsD8rfzHAQ9YK9y3gHu1Z47EjJrOkyqnFAmkatAMkuvuqqtIYXLiyNS1Wu90c3SQ4WPNTsnsY8Ky18uuTvwslZlaoz1frTPLQgW0r1arj9v+8X1Wq0+jxgonEWdp9hdnkAU7eWhKIoGqtMgcoH1GshqnIAyQ6jTWvLKGYl9UFinIDrlQutcyfR46yR0biolxnDO4EXM7Rksz1AwYxrCcI6DgHigag0tXENMhIMiHIi15BlqTkisJyy/UQKEqcH0O6gwWvAZn7o3U6iBK5GMKdysycL7OnEbCTEeI72FWp8RdY6WWhPJ0RPrCctNsTdm7SPGUBx9sY111G2dy6g76Z41O8klchLb+36/IZQ0MfK314ej6D1es6hmCHeF2VtMSXQUbk/h1UAFO6GSHJ0+h8rOLqvlxFrD8os1Dg7fRI8AbKt871ZxSl0UsgZQ4KexHS6SUyzZzExn8OQLxNF4SIZxQIaLyQo4XFIF9oXIRZDq3mGTjc3fKFdyYs1hPUSTyTlnYDYR5nqHvNg9jVJ0Z5gJA6GEMoY5vKxh4wCqDXPQEihcOKXl3XmKVDI7bGr7AF1GoltN7GPrbk+/gUQT2QQ0N6VOdcENb16E3B+DCLDOYeY9RMjDxMEJbRyT0zCbDCGaLXzaSdXknNFE85ofFZY3/VWIsIZXiADbxVcXggH4nuRYR8U2+AEZSBHG5xj3azPheBJCuIvgWC/jIXJyZFk485YTaw/La9TeYyL84TuMxAjGRsI43hdmlQyjCmUB7ePCYaoZl6DCDSMUVgOzYjAt544Iu8XEdhJ+qGYcWEi1F8TVqS6i0RIOlR8EknktuuLx+laoXub74IzcjZjYTpEvlJMc8HiX2oiGVqjnPTI8E/8MtIeib4spsxRXQy5h/Hzu1MQ26361zqJruYgNpiR3IMIfBrXDBJ1Kd/Di5CyKwTfjRDTFvC/iGkThbGsut9JwNHMAlvMBcUgSPAcN6dlQ7c7QTUxsO6OvwuGhAMXGEDOBDwyUhjS66k7M+8LvjNI5rnYHlEbDOYn/IiCWzvTSPg7mg+JQ8Eenr60wwiExHBz/Ymi8O+zjoD5m7nu3n5EyY/ZBztto99eyuDZh13CodjfU6D+YxeDujQvE+iIUMYGYj4ZRiMZuhV51fdSIiW2H9ZX0r7Td+iJ0n+D2Q8Kcb4XpoQApzSUO93YwuQ39R6NU1uXk5GgJKXmBxsdetHwgUOZF5USmrqVvTUOK6SFJiX06k0SzXPICDZ/rSPeBgAZndZ/YrYht4m4I1lvsRFFNbCesq8XrSKDfWic/jYF8YBk3PxKUWVRh05lMOoHYra4lJTmqDadqvhpYwzxTVct0DazKONEb7CKEPUnO7gTA0M+YG0oAL4tQVWkMt6/N11LmwzJlwwNFpeb9AsIaLkzqzj9nNhpaH68z2EJCWRDDM/YC1nVcC7TBTQIwXBSvr4NIzqZccs6RE+sI6wJ8qmeFzs0WG13b2M0zQJaz24F15eFiZaAcGGaQVNlViXQQH3CGaynTMR08cV4NXU6sOawrQCeEx1Ya1PW6O3d5wcxpeByefVBPqcyusa+FPMckBwnCKRmDMyNCnlMN8lXO4Ex8dkq9671YFXtyR8eBrDeVm0OpibXX/RLEGt5OVwnhYD20+y80uuCoaex28eGAZDoSdil3OU8/48Ml6ajhPt5Vf6efnHffJnExkweYklRtiYEMCyP4xLTEmXugeNRYs7B11kGP9rOKbEDexfe19u6ftMvoiXWFdQF+JcEOYMtJakxVtcZpYE0iZ+7G8cDxWLCV2RLEau49fQpCuO1zsd9paMlrUHgkJNYT1qXOAalZaN6D877Dx+AZ9yR+3Iqe7LeBzYtk6FDWCcu0lLCZvjDc6gtSeEkF3NuSlhPrCeuJtq42WzlkVeM3/AaQ4U5S5raTkPVBrucjmMdAn4sY6kkm/VzEACP0rD8/B0EerKJruz4X/cfkgSyejBYb0+dZCPlE/J6P/iFvC6b9DPUbAP7xH/z34z/4D//hP/yH//Dfj//gP/yH/8bBV2EvDYgHKxgSHKQBcZAEw+VwtAbEQy0YzoPFGpDFkATDEmhoQMioBcMR8BkNiIVaMISP6UBneEhBMqyAce3HOCTR4IEjNR8J8KIhnAcXaz7oXFs2HAKcrPU4BYjCIXwEOE7jQQYxSIdwOXz+WG1HneCKIB/2n4Kk6wxJGXF/ARE8wClajpMBfJAQwU8BF+s3d5rIIPogI8L+lwOM6zVbtfDjAHUcGQT9ST8O2MZi7/SXXSl6d/RibEb3HQmKcMh56DdJMciKEPyKj0mIt2OUImmFD0FchBCOWHLe5Wu/Khva1sqPr6b6vCVHhBAGQWFxeGqCEKXyH/7Df/iv8h/+w3/4D//hP/yH//Af/sN/+A//Vf7Df/gP/1X+w3/4D//hP/yH//Af/sN/+A//4T/8h//wH/7Df/gP/+E//If/8B/+w3/4D//hP/yH//AfImi2emYOPWMM/dKy+fOaMaRZgEH05Vb+HgKKj5VRdLVW3h4GCo+VYfQ5rFa+HgqKjpVxtC2LVp4eDgqOlYG0PcBW/x4Sio2VkbRN9Va/HhYKjZWhtF+qVu8eGoqMlbG0b99Wrx4eCoyVwXR8FK35PUQUFyuj6RiTWt09TBQWK8PpOP1anTacNE2oY51t2deMJ812MJ6EpgElfBixx57fUN1k+2KKPiy1AiMsa7J9NsWGkxU5pbYvJ79IUKzYnfreVEnevMgXk3fndP+bojQmJn5sA5UFkc8mbwHOEhJlNryxPPLhlBzQEBEBsHFO5MuppjMUECtseC3y7XQ1MCYecnbb/G3k42lumBZJh1J4I+PnUTvwwmEBsDzy9ZQAJxvKbCojn08WGrKhCQr8PjxE0fAYNEW+nyJYyfC8TZn/BxlLJcMGWOP/sQQulAzVkOf/4cBLhiaY5//hIUoGIPIBBVT+w3/4D//9+A/+w3/4D//9+A/+w3/4D5394/9eW7/feLlBl9b+48d/VMLUa3t5+vgrDtuC4/YtDsVKEUb24z9vSvUsRte+G15saaZp3LMI24wrVVTPJso3jPe+D1FtLdYVNSPrG8IM65y058t7Immm8EjaHQdmKVHj28R7jHCfM04l5qF9DhtEr9rzMBJH0AWa4cwQtJYSVb463p7cS4+5sNEhC4EC+3DkxAOZgs1HEjVaQHN1vB21BNk+xdkfNapqdtEERjlvbZX71lh2g7Hdw9C7rHN2WYR7talkOEzULso3iTeb+9pSYrMKQio4seYeHrMQZxeyVdLfBqmAuzGRJbOJ8papi+PtKjF+s+b8rrlF2166NIw9ZhCrLCjzQA/m5pDNiro43p59ay/21tjRoO2ED4bl0cQkCOBNFnRkXjNp0MhH7xHv6aTCgJEQSkzYjlfdBJlh9oIga0kAEEXESCUqknJ5vM2c1Bd52zGmntAwgUAVYgrIAGQRYYSRk5r3+KmUXhxvex8qxxinONzjR71ZSiLNu5sqy7xB9WtzmChK8sXxqrMRzdLha3lFKFEKvCwhIPj4FRXRxfEKs6YYODvqnTk3ohi8QEzPyESRdnldvPqMbsDldi2prEIVqJZJk1wXr2zzIRb5XTBXECi9OF7JxtycZya87YF75qETFG8/3g4uzvex+DYt4m2uvNtVjIQVwni/lWP6+ELEsllMI52mkF310tdhZcYr2Crj6k12Ip1CX2NQXKJmITNeccaq0Zf15hpDoc2xaPYoCARRntfWUbSUW6bGK9Niq9Bvo2kPgRqm4DuV/fSODmSaFjW58Wo1U3JmsKxQYR5DWG4tCLKOy6rmOH9MQNfGq81OE3qmapC/sabS6o7JgjJnhZd1HEZBmnATiYrzcXW82uwUEuTYaFyF/arzdkwO8CBPIXq1KOzQ0M1iGUYqoKjL49Vmrs073jT1FHFtaF7w6e92W7pU28GpIFU1ljVvStwF7U7S5NoDjkT19fFKMvG094CJCPvx7neefuX3ep5+a9/q7Jj2GRNSkQ05IuUyh5hkEVdFlLVE9fXx6rNzOnaS3RocuR6/KET6w/krW/Somr0r8lzk9hXqCfKNbEoZ97akr1A7klY/70f5KLpe1ntX7Mfq8KRceX2+M9S9tYP/8B/+w3/4D//hvx//wX/4D//hP/yH//DfOypTsJ/+w0OUDFfBqP7DgZcMF8IS/cc5cKFkWJrR0H+QsVQyHAVT+o8IVjKEKTha9+EhBtHQyLhE92GhIRsOApLeIwFONoTlcN0+Oo/agQ/CYdFXMi7WebyUkRZJhzCWwdX6jmuAsSAewpkZXKzpnFmTwVlBQIRGBtdpOTeWHNAIIiJYgEu0m89jeUvXWEiEsa9kwFTjnFFNZgvr3i1hKgPSWBATYdHyTMuJXxQERQgHNaaExitvRys0phouBFkRQjhq6YVXTcmL99pWYMSrwtLORmoHTXGxtK0NQpPKf/gP/+G/yn/4D//hP/yH/2b9h//UTLNtW5X/8J9caYAsmSDLxniFesiVCdTGeIWDkC8TxDahVzgKxTKBsVGv0A/VMoGx6fcKo3uhUCIIbYi9gnZAlURQZdOhnuF2BkrkgYzN3tg7aDdQLg2U22DUQ2ibDSWyQMaGNvUUdw/YUBXKAWGVDQfuegsNxodUF+fnZvn9ZWlsqu3x8d2kx1Dt3stMRK+07XvIfDJjl/AeertDEohi9SSqo/1HD9Q3+P011B/UKE6qwwy1MmvtB1HkM+s//If/RMNb1vrKf/gP/+E//If/8N+s//Af/qv8h//MQMnaUPkP/+E//If/8F/M8alXrLXJ90owhQRbIObQb1J+fngj0FYm0UVS7h7iiLOVWXRDedss4vO1afRJ4XxtGvF52jza2lKeNo/4/m0ibbG2f5tIfL82k/b60a/NJL73YirtOdGEknouppJgQImpx2IuCQaUmOYtJpNgQImpazGbBANKTNZHvd93W9nl5ZX22+zy8nO9VRfsAk/sAqP9wwBwxsigl8p/+K/yH/7Df/gP/+E//If/9B/P//J/efNZ+NgVg1GWaK8ezwbAHK27emgQdLwGa/zIgS5X6LHqMNDlpcp/+K/yH/7Df/gP/+E//If/NCAP3Zg/X8z4/LUDUk7XXE1mg2A+o7liIPRN/dUhA15GtVhhwMself/wX+U//If/8B/+w3/4D//hP/yH//DfewkXV/7Df/gP/+E//If/8B/+w3/4D//hP/yH//Afvfvr/19LqraX7v+o1zbT/ZzES1fc+gmJLtxeno2YYto8xXDBtV9eW8/H9re8mPb3ewbvT+ztD5+H6CLc5mVd9DzE7oLMpZ+FaHJP4iw3zy+k3jYr50mIF9oCh7IQb0e74J1ll2VS0xqJlRcqDziwRq0hCmSmZOfpZ3RItsAqcngZ9kVave2dbOk1XE2/BnkTuUVEHlhjTL+a2VpKjDHV1myVZxUNfQkzysuMPUWLWg1xl8VboE5Lh+HYvZR128slh7swAuoaZE68qFVGAaaIEFmUlLhyFmOZf5L4/+39Ua4qYuY0bbuHcKdd1TluaE2xXU7hCI/jEHve2qrxrVlLSTexY0WkW5q8QSogTb+GazUkIxUQ4xcpw9csw7+Sl5I7e2GUZOusZ41z/lQ77MNRSIXZp37Qz/cYPGmE5KVk99MqOUf4EWlvTTwzkJmsmZ4tEtdDBDEUiSkxpKXbrngaxyKXlz74mX9DhGo+oH5rTBCIjJQ40pJtWQ+SEX7Fm00vCK/nCpWIj77FYSEyUtIOStVxdsKYnwjwPmJydTEpKWkFJecavWAqdjrKYTQ6tEGGugFySlo3vWm8YnAaTTEZuKNXTdEoKdF8VEuEahLh41YyckpaWWm/uZQXAU/dgdJw7NPsvLV5vziIqpc23/lRH4Hq90sVev+qfhKgeeRn+qXRqi9T8b6coyOnRMnNh8M2sbsBuv1mvAPyxA5zEV7CysRrEDLY/ETXl/G/4CWDvpLKpK+h+YyouPXJgjTx/C6feG/hLZFS0gtSwL2sNzSxvaUTu+qlFI2QEkNQyg292y6JMr9zOQlTUc0o4AibR0yJI6il2U7xB9Ur5GADdTlph2ATUU3VCH8FqnRBLwu8Tk2JOahSbS/0e8BXNdIxUJdFaONljpKhzCQ9tcE8C15OSTuLaqUsx9IvNe39k0uxk56afpPZu9kl4QoPT7HEJP3ndJSC7ioiA7PF4BZT0g0qD/VcS4/lXvRPfzjU8ZJUpKjwYi3AgVOzKG4pJRL+d/qlHMfcqmP56Aj2NPBQFFqA9qKNkmUpJfac69Zt5zS0l1bds30IdCUV7AZkoEWO96f9MRcLKXHsafctyNIXTPDYk2if3b7i49z0FlMnZmDaUvRtOiWeQGeoe2sH/+E//If/8B/+w3/4D//hv/fynP9p3TtFgP/w3xxM+lqJnntIz/9jtzk5pj/tbloymFfwXysREhpyCmvCYfW3ZNDww1jfkwrrcR9K+FqJTDlo2jKYXV5ldTiTKnpRGUsq46tMLpr7vYA0WhQ/GjbNwLeGwgqpcPRg2IyjN3+DSgyMc6Jl8wx420AZ93uA26d0Ew3xV4ZEPRGjNgeddwyC/y2L1dxTjqYY7ggWVVX+1j2UlT1nrl8b3ZDU7V/8Nj2+KH/ZE8+uLi2r+ONN1a9ve3f3vvftlHzmfPCiOR8m99cevzqvtx88e/d82PjervqT/vYn9YHyQe2h1raOrl+eOnPu8tWh67e+H/11Mj2/tlal9n7Pj5PzOoV87hzdbaqRYG942SyLJh6Vcd1esDXVgF+/g74sEDjl6MXf5NsOZnmTDe1rJYLLQgkzjCO8t2/shoN8k/XQeUVghOrXShTfAg/t33Q2kTAd96GMr5VokBcK3yDRbKIzztOvJhbU+LEyUwaTiTPMaTfTZ5I58mNlNZ/o79Asf61EE7iesGgW4TmMQ+zXSnRJBN8q//4+yOM//If/8J90eyg7Z17uZmlk7uKlTxSVlK3fVL1txz47NVGEun1MsctSyBT3WqBx1/barZ0qipj4cFtn76n+K99dHxlNpieI/PmNye4MJZI9qrP+w3+V//Af/sN/+O+3hZ/N+o/zDVSycubnPVa4KvHsc0Wri9eUvFC6toxy8SP7kfxliWBtReWW1+t27renltSRW/BEcdmGcNtu+8HU4n81cLwjlm+qu49fcEDj9pp7rZ+1H/vyeFd3T+/JE9+c6jt95mxSxnho0Yriitfen8p9Yf3Bv2zv+vrMxYGhmyNTP4z08kXeb0rWNzNZuw61dZ06N3jj++QkSRx5ibLqKdwj9l0cnuiDNL+wBfyyE39P4PaPj//1tTualviRvbRk0z57gn76SfeZ79J260YEmbu8tJoJeuuz3itpH68JITmryl6f6Lyf9l4cSY4nhxSUbCG9mmP9t5PjCSILnl6fvlCKvfe6zqd8PlEUKShtJq17PZfu6liiSNbyF3ekfxd7R3/Kx2yySM6T69O+l/3PPvlmWMcSRnISlXZq9R3ndSxpJPuJjWlTftJ1TVXFkaxV69OmHDk5rKryyJIw7Wte976+qaryyCPFzaR08JfXk6oCyW/Sviejpmf8k4oCSf663QA0HruqqgLJ3KJqUmr9VlUlkuXrSam296aqRLLwhXcB+Fn75aSqRBKn/UTw4b6/SapEMq94GwDbu4dVVSJZWmGn9Mk5VZVIsp97Dcb8afd1VZEkvyx1m2RbzqiqSJKosgE+PPadqkiyqHRn6gL/Tv06qSLJykpSah9MqkokuWvqYMybJ0eSKpIUvkxKn55PqkokOUWp2yhb331TVSR57EUAaOlXVb++XeMOPT7oHFIVSZavJ6VDfXdVJZK80ndsxjS0D6iqQDLn2aq0TRnrG1WVSAormHCFHhLAcXvsYiwuqbNTajuvqkIAVGW846THXngjbUswT91RFQIOAeknPez+TyqWNaUdrILj4wtMFwO0/1gNnnBS9qqK3amv/Idt55KqooCqjkx8UnXZU4tcuKkTiY122uVT9uFmJpFcnrX7leeXz3OPR4s2p726tccHk6ozjGTzLOpe/qOCbMcvinbZRMf842DP+Ne8ZhhJZb6/0vtJvT1B2zaUrHLqJxs1MeFRlWj5+npSdeaRaOZmf9eRPUzQ/ldf+nFhrqN2fq1g9YYdEx3zjy9OjyRVZyTJZ77ra/+JPWE7t1SUPGmm/ep06bPrwolel0Odqcf8Y6aSkOZXZ7r+YjsTt6+5cl3R8rx5D/xHi80PVxVXVO+eaP7f+6R3MGVJ6TOZJDXfD5w6dqSRSdvxxqaKtasTP8pblJszxbvJh3J0cX7hE8G69dVNk83y1vbTqQv6m+kkr7k5eLq77dB79lTb/W7za1WbVDcDW8Jq0xzsm9rsNd5rP3k+5ctdM6LENqND504ca63Ztdd+wL1X88nxvsG0y86Ykt8EQ1fOnOj6q9aDf1LfuGdq9pr6rYda27q+6R+4mf6VrhlW0pzvb934lbnMpUFVc+1qJjN8a7I1Hs7MEvDM+g//4T/8h//wH/7Df/gP/70xsxL+azJxYFfD0yaTaVi9AR42mVjYsBkmTCYB3PpVGb8yl/wK/PrdtmbwoKmkBrZ47zdiLA1/BWzyc7atyWDCThtGd+qefngCqFOHT5syYykbt/l52bLKTOK37tYr6zdvWL3SLGLjBrfed3gA)

### Genie pipeline stages

1. Create the nodes.

    1. Create the node configuration. Node JSON configurations vary based on the node type.
For more information, see [node JSON](https://docs.qualcomm.com/doc/80-63442-10/topic/node_json.html)

Genie_Status_t GenieNodeConfig_createFromJson(const char* str,
                                                          GenieNodeConfig_Handle_t* configHandle);
            Copy to clipboard
    2. Create the node.

Genie_Status_t GenieNode_create(const GenieNodeConfig_Handle_t nodeConfigHandle,
                                            GenieNode_Handle_t* nodeHandle);
            Copy to clipboard
2. Construct the pipeline.

    1. Create a pipeline from the node configuration.

Genie_Status_t GeniePipelineConfig_createFromJson(const char* str,
                                                              GeniePipelineConfig_Handle_t* configHandle);
            Copy to clipboard
    2. Add nodes to the pipeline.

Genie_Status_t GeniePipeline_create(const GeniePipelineConfig_Handle_t configHandle,
                                                GeniePipeline_Handle_t* pipelineHandle);
            Copy to clipboard
    3. Connect the nodes.

        - Each node type has a set of predefined IO names. These are defined in `GenieNode.h`.

            For example, the text generator node has one of the two possible inputs and one output:

            - Input: `GENIE_NODE_TEXT_GENERATOR_TEXT_INPUT`
            - Input: `GENIE_NODE_TEXT_GENERATOR_EMBEDDING_INPUT`
            - Output: `GENIE_NODE_TEXT_GENERATOR_TEXT_OUTPUT`

> 
> 
> - The Genie pipeline connect API defines one connection from one producer node output to one
> consumer node input. For example:
> 
> 
> GeniePipeline_connect(pipelineHandle,
>                                   lutEncoder,
>                                   GENIE_NODE_TEXT_ENCODER_EMBEDDING_OUTPUT,
>                                   textGenerator,
>                                   ENIE_NODE_TEXT_GENERATOR_EMBEDDING_INPUT)
>             Copy to clipboard
3. Run the pipeline.

    1. Set data for the input nodes.

Genie_Status_t GenieNode_setData(const GenieNode_Handle_t nodeHandle,
                                             const GenieNode_IOName_t nodeIOName,
                                             const void* data,
                                             const size_t dataSize,
                                             const char* dataConfig);
            Copy to clipboard

        - Use the predefined IO name (as in connect API)
        - The IO name implicitly defines the data type
    2. Run the pipeline.

Genie_Status_t GeniePipeline_execute(const GeniePipeline_Handle_t pipelineHandle,
                                                 void* userData);
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        - Callbacks registered to the output node(s) return the output.

## Genie API

The Genie API is a high-level interface for running LLM pipelines on Qualcomm devices.
It wraps the tokenizer, engine (QNN backend), KV-cache management, decoding, and sampling
into dialog and token-generation flows, while delegating device execution to QAIRT
with HTP/NPU and CPU backends.

The following diagram shows the high-level functions handled internally by Genie APIs.
You can use the Genie C APIs to configure each component according to your LLM application needs.

![../_images/genie-dialog.png](data:image/png;base64,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)

The Genie API has the following components.
For complete function definitions and header-level details, see [Genie API documentation](https://docs.qualcomm.com/doc/80-63442-10/topic/library.html)

- `GeniePipeline`: Orchestrates the entire inference workflow by chaining tokenizer, engine, sampler,
and other nodes into a runnable pipeline. It manages data flow and execution order for text generation
or embedding tasks.
- `GenieNode`: Represents an individual processing unit (tokenizer, engine) within the pipeline.
Nodes encapsulate specific functionality and can be used to build custom inference graphs.
- `GenieDialog`: A high-level abstraction for conversational tasks. It wires together tokenizer,
model, backend, and sampler using JSON configuration and provides APIs for token generation and embeddings.
- `GenieEmbedding`: Handles embedding queries for retrieval-augmented generation (RAG) or semantic search.
Converts input text into dense vector representations using the loaded model.
- `GenieProfile`: Stores configuration and runtime parameters such as backend selection, sampling strategies,
and performance settings. Profiles allow quick switching between different inference setups.
- `GenieSampler`: Implements decoding strategies (for example, greedy, top-k, or top-p sampling) to convert
model logits into output tokens. Supports advanced speedup techniques like speculative decoding (SPD),
self-speculative decoding (SSD), and look ahead decoding (LADE).
- `GenieEngine`: Executes the model forward pass on the chosen backend (HTP, GenAI transformer, or CPU).
It manages graph execution, memory allocation, and hardware acceleration.
- `GenieTokenizer`: Converts text to token IDs and back to text during inference. Works with model-specific
vocabularies and supports efficient encoding/decoding for multi-turn dialogs.

The following diagram shows a sample call flow for the Genie API in an end-to-end LLM chatbot application.

![Call flow for the Genie API in a chatbot application](data:image/png;base64,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)

Last Published: May 14, 2026

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