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Introduction:
Open-source language models have revolutionized the way we interact with artificial intelligence, making powerful tools accessible to developers and researchers alike. By allowing collaboration and customization, these models empower users to refine and adapt AI technologies for their specific needs. With a plethora of open-source options available, understanding their potential and applications is crucial for anyone interested in harnessing the benefits of AI. Explore how these innovative models can enhance your projects and drive advancements in various fields.
Added on:
February 23 2024
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Gemma Product Information

What is Gemma?

A collection of advanced, lightweight open models designed for optimal performance

How to use Gemma?

Explore quickstart guides, performance benchmarks, and learn how to train and deploy on Google Cloud. Join our community to contribute to and advance AI research.

Gemma's Core Features

Comprehensive safety measures for responsible and trustworthy AI solutions

Exceptional benchmark results at 2B and 7B sizes

Framework flexibility with compatibility with Keras 3.0, JAX, TensorFlow, and PyTorch

Gemma's Use Cases

#1

Fine-tuning and inference tasks with Hugging Face Transformers

#2

Exporting to TensorRT-LLM for production with NVIDIA NeMo Framework

FAQ from Gemma

What are Gemma models?

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