Gemma-7b is an 8.5 billion parameter, decoder-only large language model developed by Google, built from the same research and technology as the Gemini models. This English-language, open-weights base model is designed for a variety of text generation tasks, including question answering, summarization, and reasoning. Its relatively small size allows for deployment in resource-limited environments, democratizing access to advanced AI capabilities.
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