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Model: dicta-il/DictaLM-3.0-1.7B-Base Source: Original Platform
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README.md
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---
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license: apache-2.0
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pipeline_tag: text-generation
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language:
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- en
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- he
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tags:
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- pretrained
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inference:
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parameters:
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temperature: 0.6
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---
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[<img src="https://i.ibb.co/5Lbwyr1/dicta-logo.jpg" width="300px"/>](https://dicta.org.il)
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# Dicta-LM 3.0: Advancing The Frontier of Hebrew Sovereign LLMs
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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.
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This is the 1.7-billion-parameter base model, with full precision (BF16), originally initialized from [Qwen3-1.7B-Base](https://huggingface.co/Qwen/Qwen3-1.7B-Base).
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For full details of this model please read our [release blog post](https://dicta.org.il/dicta-lm-3) or the [technical report](https://www.dicta.org.il/publications/DictaLM_3_0___Techincal_Report.pdf).
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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.
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You can view and access the full collection of base/instruct unquantized/quantized versions of `DictaLM 3.0` [here](https://huggingface.co/collections/dicta-il/dictalm-30-collection).
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## Usage
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### Transformers
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```python
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from transformers import pipeline
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import torch
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# This loads the model onto the GPU in bfloat16 precision
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model = pipeline('text-generation', 'dicta-il/DictaLM-3.0-1.7B-Base', torch_dtype=torch.bfloat16, device_map='auto')
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# Sample few shot examples
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prompt = """
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עבר: הלכתי
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עתיד: אלך
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עבר: שמרתי
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עתיד: אשמור
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עבר: שמעתי
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עתיד: אשמע
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עבר: הבנתי
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עתיד:
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"""
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print(model(prompt.strip(), do_sample=False, max_new_tokens=8, stop_sequence='\n'))
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[{'generated_text': 'עבר: הלכתי\nעתיד: אלך\n\nעבר: שמרתי\nעתיד: אשמור\n\nעבר: שמעתי\nעתיד: אשמע\n\nעבר: הבנתי\nעתיד: אבין\n\nעבר: חשבתי'}]
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```
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### vLLM
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```bash
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vllm serve dicta-il/DictaLM-3.0-1.7B-Base
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```
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## Notice
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DictaLM-3.0-1.7B-Base is a pretrained base model and therefore does not have any moderation mechanisms.
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## Citation
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If you use this model, please cite:
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```bibtex
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@article{Shmidman2025DictaLM3,
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title={{Dicta-LM 3.0: Advancing The Frontier of Hebrew Sovereign LLMs}},
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author={Shaltiel Shmidman and Avi Shmidman and Amir DN Cohen and Moshe Koppel},
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year={2025},
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publisher={{DICTA / Jerusalem, Israel}},
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note={https://www.dicta.org.il/publications/DictaLM_3_0___Techincal_Report.pdf}
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}
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```
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|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"sep_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
151645
vocab.json
Normal file
151645
vocab.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user