Gemma
Our most capable open models
A new level of intelligence for mobile and IoT devices Frontier intelligence on personal computers Byte for byte, the most capable open models. Purpose-built for advanced reasoning and agentic workflows High-dimensional medical imaging interpretation in a compute-efficient model from Health AI Developer Foundations A collection of translation models to help people communicate across 55 languages Helping the AI safety community deepen understanding of complex language model behavior Bringing bespoke function calling to the edge The next generation of encoder-decoder models The world's most capable differentially private LLM The best-in-class open model for on-device embeddings The compact model for hyper-efficient AI A new collection of encoder-decoder Gemma models Our most capable open models for health AI development A new level of intelligence for mobile and IoT devices Frontier intelligence on personal computers A new level of intelligence for mobile and IoT devices Frontier intelligence on personal computers Flexible encoder-decoder models that excel at deep contextual understanding A collection of models trained for medical text and image comprehension, enabling the development of healthcare AI A modular classifier model for detecting policy-violating content and upholding safety standards Flexible encoder-decoder models that excel at deep contextual understanding A collection of models trained for medical text and image comprehension, enabling the development of healthcare AI A modular classifier model for detecting policy-violating content and upholding safety standards Lentera runs an offline AI microserver for educators and students Crane AI Labs improves Swahili language understanding in a lightweight model Marine biologists and AI engineers partnered to develop DolphinGemma Lentera runs an offline AI microserver for educators and students Crane AI Labs improves Swahili language understanding in a lightweight model Marine biologists and AI engineers partnered to develop DolphinGemma Official documentation, quickstarts, and guides to build applications with Gemma Ask questions on the developer forum Official documentation, quickstarts, and guides to build applications with Gemma Ask questions on the developer forum Large Language Models (LLMs), such as Gemma, may sometimes provide inaccurate or offensive content that doesn’t represent Google’s views. Use discretion before relying on, publishing, or otherwise using content provided by LLMs. Don’t rely on LLMs for medical, legal, financial, or other professional advice. Any content regarding those topics is provided for informational purposes only and is not a substitute for advice from a qualified professional.
StarCoder
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
The model was trained on GitHub code as well as additional selected data sources such as Arxiv and Wikipedia. As such it is not an instruction model and commands like "Write a function that computes the square root." do not work well. Here are some examples to get started with the model. You can find a script for fine-tuning in StarCoder2's GitHub repository. First, make sure to install transformers from source: The pretraining dataset of the model was filtered for permissive licenses and code with no license only. Nevertheless, the model can generate source code verbatim from the dataset. The code's license might require attribution and/or other specific requirements that must be respected. We provide a search index that let's you search through the pretraining data to identify where generated code came from and apply the proper attribution to your code. The model has been trained on source code from 600+ programming languages. The predominant language in source is English although other languages are also present. As such the model is capable to generate code snippets provided some context but the generated code is not guaranteed to work as intended. It can be inefficient, contain bugs or exploits. See the paper for an in-depth discussion of the model limitations. The model is licensed under the BigCode OpenRAIL-M v1 license agreement. You can find the full agreement here.
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