
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
Fine-tuning and inference tasks with Hugging Face Transformers
Exporting to TensorRT-LLM for production with NVIDIA NeMo Framework
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=
Related resources

Hot Article
Training Large Language Models: From TRPO to GRPO
1 months agoBy王林
AI-Powered Information Extraction and Matchmaking
1 months agoBy王林
How to Easily Deploy a Local Generative Search Engine Using VerifAI
1 months agoByPHPz
LLMs for Coding in 2024: Price, Performance, and the Battle for the Best
1 months agoByWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWB
How LLMs Work: Pre-Training to Post-Training, Neural Networks, Hallucinations, and Inference
1 months agoByWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWB