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Gemma is a series of open source lightweight language models launched by Google. It combines comprehensive safety measures with excellent performance for its size, even exceeding some of the larger open models. Seamlessly compatible with various frameworks. Provides quick start guides, benchmark tests, model acquisition, etc. to help developers develop AI applications responsibly.
H2O-Danube-1.8B is a 1.8B language model trained on 1T markers, following the core principles of LLama 2 and Mistral. Although our model uses significantly fewer total markers when training than similarly sized reference models, it exhibits very competitive metrics on multiple benchmarks. Additionally, we release a chat model trained with supervised fine-tuning and direct preference optimization. We open source H2O-Danube-1.8B under the Apache 2.0 license to further democratize large language models and economically benefit a wider audience.
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