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  [<img src="dicta-logo.jpg" width="300px"/>](https://dicta.org.il)
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- # Model Card for DictaLM-2.0-AWQ
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  The DictaLM-2.0 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters trained to specialize in Hebrew text.
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- For full details of this model please read our [release blog post](https://dicta.org.il/dicta-lm).
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  This model contains the AWQ 4-bit quantized version of the base model [DictaLM-2.0](https://huggingface.co/dicta-il/dictalm2.0).
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  If you use this model, please cite:
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  ```bibtex
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- [Will be added soon]
 
 
 
 
 
 
 
 
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  ```
 
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  [<img src="dicta-logo.jpg" width="300px"/>](https://dicta.org.il)
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+ # Adapting LLMs to Hebrew: Unveiling DictaLM 2.0 with Enhanced Vocabulary and Instruction Capabilities
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  The DictaLM-2.0 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters trained to specialize in Hebrew text.
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+ For full details of this model please read our [release blog post](https://dicta.org.il/dicta-lm) or the [technical report](https://arxiv.org/abs/2407.07080).
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  This model contains the AWQ 4-bit quantized version of the base model [DictaLM-2.0](https://huggingface.co/dicta-il/dictalm2.0).
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  If you use this model, please cite:
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  ```bibtex
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+ @misc{shmidman2024adaptingllmshebrewunveiling,
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+ title={Adapting LLMs to Hebrew: Unveiling DictaLM 2.0 with Enhanced Vocabulary and Instruction Capabilities},
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+ author={Shaltiel Shmidman and Avi Shmidman and Amir DN Cohen and Moshe Koppel},
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+ year={2024},
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+ eprint={2407.07080},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2407.07080},
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+ }
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  ```