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--- |
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library_name: tflite |
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license: gemma |
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pipeline_tag: text-generation |
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tags: |
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- tflite |
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extra_gated_heading: Access Gemma on Hugging Face |
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extra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and |
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agree to Google’s usage license. To do this, please ensure you’re logged-in to Hugging |
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Face and click below. Requests are processed immediately. |
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extra_gated_button_content: Acknowledge license |
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--- |
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# Gemma Model Card |
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## TensorFlow Lite |
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**Model Page**: [Gemma](https://www.kaggle.com/models/google/gemma/tfLite) |
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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. |
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**Resources and Technical Documentation**: |
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* [Responsible Generative AI Toolkit](https://ai.google.dev/responsible) |
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* [Gemma on Kaggle](https://www.kaggle.com/models/google/gemma) |
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* [Gemma on Vertex Model Garden](https://console.cloud.google.com/vertex-ai/publishers/google/model-garden/335?version=gemma-2b-gg-hf) |
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**Terms of Use**: [Terms](https://www.kaggle.com/models/google/gemma/license/consent/verify/huggingface?returnModelRepoId=google/gemma-2b-it-tflite) |
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**Authors**: Google |
