Google Gemma
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About
Google Gemma is a family of cutting-edge open language models developed by Google, offering versions with 2B and 7B parameters. These models, modeled after Google's Gemini technology, emphasize cross-device compatibility and optimization for Google Cloud and NVIDIA GPUs. They are available for free on platforms like Kaggle and Google Colab, bolstered by a responsible AI toolkit to ensure safe and ethical use. While versatile and suitable for various applications such as text generation and summarization, Gemma models are designed with caution, recognizing potential limitations such as biases in training data and the risk of misuse. Developers can easily access and deploy these models across multiple platforms, thereby promoting innovation and research in AI.
Platform
Task
Features
• cross-device compatibility
• responsible ai practices
• lightweight open models
• accessible for free on kaggle and colab
• optimized for google cloud and nvidia gpus
• 2b and 7b parameter versions
FAQs
What is Google’s Gemma?
Google’s Gemma is a lightweight, state-of-the-art open language model optimized for various devices and platforms, based on the technology used in Gemini models.
How can developers access Gemma models?
Developers can access Gemma models via Kaggle, Google Cloud, and Hugging Face’s Inference Endpoints.
In which devices can Gemma models run?
Gemma models can run on laptops, desktops, IoT devices, mobile phones, and in the cloud.
What are the applications of Gemma models?
Gemma models can be used for applications such as text generation, summarization, and retrieval-augmented generation (RAG).
What tuning techniques can be used on Gemma models?
Fine-tuning techniques like LoRA tuning and distributed training can be applied to Gemma models.
Pricing Plans
Free
Free Plan• Access on Kaggle
• Access on Google Colab
• $300 credits for Google Cloud
• Cross-device compatibility
• Support for multi-framework tools
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