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README.md
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---
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library_name: keras-hub
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---
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## Model Overview
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Gemma is Google's family of lightweight, state-of-the art open models built from the same research and technology used to create the Gemini models. Gemma models are available with and without instruction tuning and come in two sizes: 2 billion and 7 billion parameters. Gemma 1.1 is the latest weights refresh. See the model card below for benchmarks, data sources, and intended use cases.
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preprocessor=None,
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gemma_lm.fit(x=x, y=y, sample_weight=sw, batch_size=2)
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```
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library_name: keras-hub
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license: gemma
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language:
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- en
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tags:
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- text-generation-inference
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- text-classification
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- text-conversation
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- text-to-text-generation
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---
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## Model Overview
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Gemma is Google's family of lightweight, state-of-the art open models built from the same research and technology used to create the Gemini models. Gemma models are available with and without instruction tuning and come in two sizes: 2 billion and 7 billion parameters. Gemma 1.1 is the latest weights refresh. See the model card below for benchmarks, data sources, and intended use cases.
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preprocessor=None,
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)
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gemma_lm.fit(x=x, y=y, sample_weight=sw, batch_size=2)
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```
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