| --- |
| 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 |
