Key points are not available for this paper at this time.
This work introduces Gemma, a family of lightweight, state-of-the art open models built from the research and technology used to create Gemini models. Gemma models demonstrate strong performance across academic benchmarks for language understanding, reasoning, and safety. We release two sizes of models (2 billion and 7 billion parameters), and provide both pretrained and fine-tuned checkpoints. Gemma outperforms similarly sized open models on 11 out of 18 text-based tasks, and we present comprehensive evaluations of safety and responsibility aspects of the models, alongside a detailed description of model development. We believe the responsible release of LLMs is critical for improving the safety of frontier models, and for enabling the next wave of LLM innovations.
Building similarity graph...
Analyzing shared references across papers
Loading...
Gemma Team
Thomas Mesnard
Cassidy Hardin
Building similarity graph...
Analyzing shared references across papers
Loading...
Team et al. (Wed,) studied this question.
www.synapsesocial.com/papers/68e74210b6db6435876bbeb2 — DOI: https://doi.org/10.48550/arxiv.2403.08295
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: