Gemma

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Introduction：: Open-source language models

Added on：: 2025-01-13

Monthly Visitors：: 3M

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URL：: https://ai.google.dev/gemma

Website Large Language Models (LLMs) Large Language Models (LLMs)

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Gemma Product Information

What is Gemma?

A family of lightweight, state-of-the-art open models

How to use Gemma?

Discover quickstart guides, benchmarks, train and deploy on Google Cloud, and join the community to 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?: Gemma models are lightweight, state-of-the-art open models built from the same research and technology used to create the Gemini models.

Gemma Discord: Here is the Gemma Discord: https://discord.com/invite/google-dev-community. For more Discord message, please click here(/discord/google-dev-community).

Gemma Company: Gemma Company name: Google .

Gemma Login: Gemma Login Link: https://ai.google.dev/_d/signin?continue=https%3A%2F%2Fai.google.dev%2Fgemma&prompt=select_account

Gemma Github: Gemma Github Link: https://github.com/google/generative-ai-docs/blob/main/site/en/gemma/docs/lora_tuning.ipynb?utm_source=agd&utm_medium=referral&utm_campaign=open-in-colab&utm_content=

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Gemma Analytic

Gemma Website Traffic Analysis

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Monthly Visits 3M

Avg.Visit Duration 156.48

Page per Visit 2.45

Bounce Rate 58%: Jan 2024-Jun 2025 All Traffic

Geography

Top 5 Regions

China 155728

India 441636

Japan 141737

Russia 149645

United States 510679: Jan 2024-Jun 2025 Desktop Only

Traffic Sources

Mail 1.1K

Direct 1.4M

Search 1.2M

Social 67.9K

Referrals 335.2K

PaidReferrals 10.4K: Jan 2024-Jun 2025 Desktop Only

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