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--- |
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license: gemma |
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library_name: gemma.cpp |
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extra_gated_heading: Access RecurrentGemma on Hugging Face |
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extra_gated_prompt: >- |
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To access RecurrentGemma on Hugging Face, you’re required to review and agree |
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to Google’s usage license. To do this, please ensure you’re logged-in to |
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Hugging Face and click below. Requests are processed immediately. |
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extra_gated_button_content: Acknowledge license |
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pipeline_tag: text-generation |
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tags: |
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- recurrent_gemma |
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--- |
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# RecurrentGemma Model Card |
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**Model Page**: [RecurrentGemma]( https://ai.google.dev/gemma/docs/recurrentgemma/model_card) |
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This model card corresponds to the base 2B version of the RecurrentGemma model for gemma.cpp, the C++ implementation of the Gemma model family. |
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SFP checkpoints are pre-quantized to 8-bit using Switching Floating Point (SFP), a method that switches between eXmY floating point representations based on the values stored. gemma.cpp uses the [Highway](https://github.com/google/highway) SIMD library for optimal performance across most CPU architectures. |
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Visit [https://github.com/google/gemma.cpp](https://github.com/google/gemma.cpp) for more information and usage examples! |
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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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* [RecurrentGemma on Kaggle](https://www.kaggle.com/models/google/recurrentgemma) |
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**Terms of Use:** [Terms](https://www.kaggle.com/models/google/gemma/license/consent) |
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**Authors:** Google |
