Today, at IBM’s annual TechXchange event, the company announced the release of its most advanced family of AI models to date, Granite 3.0.
Granite 3.0 is IBM’s third-generation Granite flagship language model, can outperform or match similarly sized models from leading model providers on many academic and industry benchmarks, showcasing strong performance, transparency and safety.
IBM’s Granite 3.0 family includes general purpose/language, guardrails & safety, and a mixture-of-Experts.
Consistent with the company’s commitment to open-source AI, the Granite models are released under the permissive Apache 2.0 license, making them unique in the combination of performance, flexibility, and autonomy they provide to enterprise clients and the community at large.
The Granite 3.0 technical report and responsible use guide describe the datasets used to train these models, details of the filtering, cleansing, and curation steps applied, and comprehensive results of model performance across major academic and enterprise benchmarks.
Critically, IBM provides an IP indemnity for all Granite models on watsonx.ai so enterprise clients can be more confident in merging their data with the models.
The Granite 3.0 models were trained on over 12 trillion tokens on data taken from 12 different natural languages and 116 different programming languages, using a novel two-stage training method, leveraging results from several thousand experiments designed to optimize data quality, data selection and training parameters.
IBM is also introducing a new family of Granite Guardian models that permit application developers to implement safety guardrails by checking user prompts and LLM responses for a variety of risks. The Granite Guardian 3.0 8B and 2B models provide the most comprehensive set of risk and harm detection capabilities available in the market today.
The entire suite of Granite 3.0 models and the updated time series models are available for download on HuggingFace under the permissive Apache 2.0 license.
Also Read: IBM Granite LLM Now Available Through the GenAI Hub in SAP AI Core
