  We present DictaLM, a large-scale language model tailored for Modern Hebrew.
Boasting 7B parameters, this model is predominantly trained on Hebrew-centric
data. As a commitment to promoting research and development in the Hebrew
language, we release both the foundation model and the instruct-tuned model
under a Creative Commons license. Concurrently, we introduce DictaLM-Rab,
another foundation model geared towards Rabbinic/Historical Hebrew. These
foundation models serve as ideal starting points for fine-tuning various
Hebrew-specific tasks, such as instruction, Q&A, sentiment analysis, and more.
This release represents a preliminary step, offering an initial Hebrew LLM
model for the Hebrew NLP community to experiment with.
