Dicta-LM 3.0: Advancing The Frontier of Hebrew Sovereign LLMs

• URL: http://arxiv.org/abs/2602.02104v1
• Date: Mon, 02 Feb 2026 13:47:54 GMT
• Title: Dicta-LM 3.0: Advancing The Frontier of Hebrew Sovereign LLMs
• Authors: Shaltiel Shmidman, Avi Shmidman, Amir DN Cohen, Moshe Koppel,
• Abstract summary: We introduce Dicta-LM 3.0: an open-weight collection of large language models trained on substantially-sized corpora of Hebrew and English texts.<n>To rigorously evaluate our models, we introduce a new benchmark suite for evaluation of Hebrew chat-LLMs.
• Score: 5.753786926820733
• License: http://creativecommons.org/licenses/by-sa/4.0/
• Abstract: Open-weight LLMs have been released by frontier labs; however, sovereign Large Language Models (for languages other than English) remain low in supply yet high in demand. Training large language models (LLMs) for low-resource languages such as Hebrew poses unique challenges. In this paper, we introduce Dicta-LM 3.0: an open-weight collection of LLMs trained on substantially-sized corpora of Hebrew and English texts. The model is released in three sizes: 24B - adapted from the Mistral-Small-3.1 base model, 12B - adapted from the NVIDIA Nemotron Nano V2 model, and 1.7B - adapted from the Qwen3-1.7B base model. We are releasing multiple variants of each model, each with a native context length of 65k tokens; base model and chat model with tool-calling support. To rigorously evaluate our models, we introduce a new benchmark suite for evaluation of Hebrew chat-LLMs, covering a diverse set of tasks including Translation, Summarization, Winograd, Israeli Trivia, and Diacritization (nikud). Our work not only addresses the intricacies of training LLMs in low-resource languages but also proposes a framework that can be leveraged for adapting other LLMs to various non-English languages, contributing to the broader field of multilingual NLP.

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