Google Releases Gemma Open Source LLM's
Google releases and open source LLM!
Created on February 21|Last edited on February 21
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Google has announced the global availability of its latest AI toolset, Gemma. This collection of models is designed to push the boundaries of what's possible in AI development while prioritizing ethical considerations. Here are the essential highlights and technical innovations that Gemma brings to the global AI community:
Gemma Model Variants
Gemma is introduced in two distinct sizes, the 2B and 7B variants, each available in pre-trained and instruction-tuned formats. These variants cater to a range of computational and application needs, from lightweight tasks that can be handled on personal laptops to more demanding processes suitable for workstation or cloud deployments.
Results
Overall, Gemma 7B seems to outperform Mistral-7B and LLaMA-2 13B on most benchmarks.
Here are the Mistral 7B and Code LLaMA results below:
Cross-Framework Compatibility
Gemma models are designed for seamless integration across all major AI development frameworks, including JAX, PyTorch, and TensorFlow, thanks to native Keras 3.0 support. This compatibility ensures that developers can easily incorporate Gemma into their existing projects, leveraging the models' capabilities without needing to switch their preferred tools.
Accessibility and Integration
To facilitate easy adoption, Google has prepared ready-to-use Colab and Kaggle notebooks. Additionally, Gemma's integration with popular AI tools such as Hugging Face, MaxText, NVIDIA NeMo, and TensorRT-LLM simplifies the process for developers to start experimenting with and deploying Gemma models in their projects.
Deployment and Optimization
Gemma models are optimized for performance across a wide array of AI hardware platforms, ensuring top-tier efficiency on NVIDIA GPUs and Google Cloud TPUs. This optimization extends to deployment capabilities on Vertex AI and Google Kubernetes Engine, enabling scalable and efficient use in various environments.
The terms of use for Gemma models are designed to be inclusive, allowing for responsible commercial use and distribution by organizations of any size.
In conclusion, Gemma represents a comprehensive effort by Google to offer the AI community a set of tools that are powerful, versatile, and ethically grounded. With Gemma, developers worldwide now have access to advanced AI models and resources designed to encourage responsible innovation and application in various fields.
The Announcement:
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