license: gemma
base_model: google/gemma-3-1b-pt
pipeline_tag: text-generation
tags:
- chat
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litert-community/gemma3-1b-ft-text-to-sql
This model is generated using LoRA fine-tuning to train
google/gemma-3-1b-pt with the
philschmid/gretel-synthetic-text-to-sql
dataset. Artifacts include .tflite and .task files that can be used to
run on mobile devices.
Use the models
Colab
Disclaimer: The target deployment surface for the LiteRT models is Android/iOS/Web and the stack has been optimized for performance on these targets. Trying out the system in Colab is an easier way to familiarize yourself with the LiteRT stack, with the caveat that the performance (memory and latency) on Colab could be much worse than on a local device.
Android via Google AI Edge Gallery and MediaPipe
- Download and install the apk.
- Follow the instructions in the app.
To build the demo app from source, please follow the instructions from the GitHub repository.
Android or Desktop via LiteRT LM
Follow the LitRT LM instructions to build our Open Source LiteRT LM runtime to run LiteRT models.
iOS via MediaPipe
- Clone the MediaPipe samples repository and follow the instructions to build the LLM Inference iOS Sample App using XCode.
- Run the app via the iOS simulator or deploy to an iOS device.