Dicta-LM 3.0 is a powerful open-weight collection of LLMs, trained on extensive corpora of Hebrew and English texts. The models are available for download and for unlimited use. The models set a new SOTA for their weight-class for Hebrew, both as base models and chat models.
This is the 24-billion-parameter base model, originally initialized from
Mistral-Small-3.1-24B-Base-2503.
This version of the model is dynamically quantized to FP8, utilizing the Hopper and Blackwell architectures for faster inference with a lower memory footprint. This quantization of the model can fit on a single L40S GPU.
For full details of this model please read our
release blog post or the
technical report.
Note: This is not a chat model; rather this is a base model that can be further fine-tuned. Chat model variants are available at the link below.
You can view and access the full collection of base/instruct unquantized/quantized versions of
DictaLM 3.0 here.
DictaLM-3.0-24-Base-FP8 is a pretrained base model and therefore does not have any moderation mechanisms.
1@article{Shmidman2025DictaLM3,
2 title={{Dicta-LM 3.0: Advancing The Frontier of Hebrew Sovereign LLMs}},
3 author={Shaltiel Shmidman and Avi Shmidman and Amir DN Cohen and Moshe Koppel},
4 year={2025},
5 publisher={{DICTA / Jerusalem, Israel}},
6 note={https://www.dicta.org.il/publications/DictaLM_3_0___Techincal_Report.pdf}
7}
