keras
/

gemma_instruct_7b_en

@@ -10,7 +10,7 @@ tags:
 - text-to-text-generation
 pipeline_tag: text-generation
 ---
-## Model Overview
 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.
 Weights are released under the [Gemma License](https://www.kaggle.com/models/google/gemma/license/consent). Keras model code is released under the [Apache 2 License](https://github.com/keras-team/keras-hub/blob/master/LICENSE).
@@ -202,4 +202,4 @@ gemma_lm = keras_hub.models.GemmaCausalLM.from_preset(
     preprocessor=None,
 )
 gemma_lm.fit(x=x, y=y, sample_weight=sw, batch_size=2)
-```

 - text-to-text-generation
 pipeline_tag: text-generation
 ---
+### Model Overview
 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.
 Weights are released under the [Gemma License](https://www.kaggle.com/models/google/gemma/license/consent). Keras model code is released under the [Apache 2 License](https://github.com/keras-team/keras-hub/blob/master/LICENSE).
     preprocessor=None,
 )
 gemma_lm.fit(x=x, y=y, sample_weight=sw, batch_size=2)
+```