preprint Open access

Introducing DictaLM -- A Large Generative Language Model for Modern Hebrew

  • arXiv (Cornell University)
  • Cornell University
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Abstract

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.

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Publication details

DOI
10.48550/arxiv.2309.14568
OpenAlex
W4387113842
Document type
preprint
Language
EN
Source
arXiv (Cornell University)
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