# Convert TensorFlow Lite models

Source: [https://docs.qualcomm.com/doc/80-70014-54/topic/convert-tensorflow-lite-models.html](https://docs.qualcomm.com/doc/80-70014-54/topic/convert-tensorflow-lite-models.html)

You can convert TensorFlow models to TensorFlow Lite models and optimize them for
        on-device inference purposes.

For more details on TensorFlow Lite model conversion, see [Model conversion overview](https://www.tensorflow.org/lite/models/convert).

TensorFlow Lite model conversion supports converting models to the following formats:

- 32‑bit floating-point precision
- 16‑bit floating-point precision
- UINT8/INT8 precision (quantizing models)

- **[Use an existing TensorFlow Lite model](https://docs.qualcomm.com/doc/80-70014-54/topic/use-an-existing-tensorflow-lite-model.html)**  

You can deploy an existing TensorFlow Lite model available in the open-source         community using TensorFlow Lite Runtime.
- **[Convert a TensorFlow or Keras model to TensorFlow Lite format](https://docs.qualcomm.com/doc/80-70014-54/topic/convert-a-tensorflow-or-keras-model-to-tensorflow-lite-format.html)**  

The TensorFlow framework provides Python APIs and CLI tools to convert a TensorFlow         or Keras model to the TensorFlow Lite format.

**Parent Topic:** [TensorFlow Lite developer workflow](https://docs.qualcomm.com/doc/80-70014-54/topic/tensorflow-lite-developer-workflow.html)

Last Published: Jul 12, 2024

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