Introducing DictaLM -- A Large Generative Language Model for Modern Hebrew
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 9 of its 12 references that are in the map. First posted on arXiv 25 Sep 2023.
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9 of 12 references.
References · 9
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Citing papers per year: 2026: 1.
1 paper.