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ALLaM is a series of powerful language models designed to advance Arabic Language Technology (ALT) developed by the National Center for Artificial Intelligence (NCAI) at the Saudi Data and AI Authority (SDAIA). `ALLaM-AI/ALLaM-7B-Instruct-preview` is trained from scratch. Our pretraining from scratch recipe consists of two steps: training on 4T English tokens followed by training on 1.2T mixed Arabic/English tokens. This retains the English capabilities of the model without catastrophic forgetting, effectively transferring knowledge from one language distribution to another. `ALLaM` is specifically designed to expedite the research and development of ALT through Large Language Models (LLM). It serves as one of the foundational elements for building product offerings as well as facilitating experimental initiatives. The ALLaM series models are designed to be a component of a larger AI system, and it is important for developers to incorporate safety measures when creating these systems. These safety measures are crucial for ensuring a balance between effectiveness and security, as well as minimizing potential risks, such as those resulting from the integration of the model with external tools.

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