---
library_name: tflite
license: gemma
pipeline_tag: text-generation
tags:
- tflite
extra_gated_heading: Access Gemma on Hugging Face
extra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and
  agree to Google’s usage license. To do this, please ensure you’re logged-in to Hugging
  Face and click below. Requests are processed immediately.
extra_gated_button_content: Acknowledge license
---

# Gemma Model Card
## TensorFlow Lite 

**Model Page**: [Gemma](https://www.kaggle.com/models/google/gemma/tfLite)

A 4-bit, 8-bit, GPU-compatible and CPU-compatible   TensorFlow Lite implementation of the Gemma 2B instruction-tuned model, optimized for on-device machine learning. A 2B parameter base model that has been instruction-tuned to respond to prompts in a conversational manner.

**Resources and Technical Documentation**:

* [Responsible Generative AI Toolkit](https://ai.google.dev/responsible)
* [Gemma on Kaggle](https://www.kaggle.com/models/google/gemma)
* [Gemma on Vertex Model Garden](https://console.cloud.google.com/vertex-ai/publishers/google/model-garden/335?version=gemma-2b-gg-hf)

**Terms of Use**: [Terms](https://www.kaggle.com/models/google/gemma/license/consent/verify/huggingface?returnModelRepoId=google/gemma-2b-it-tflite)

**Authors**: Google