Update README.md
Browse files
README.md
CHANGED
@@ -13,11 +13,11 @@ inference:
|
|
13 |
|
14 |
[<img src="https://i.ibb.co/5Lbwyr1/dicta-logo.jpg" width="300px"/>](https://dicta.org.il)
|
15 |
|
16 |
-
#
|
17 |
|
18 |
The DictaLM-2.0 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters trained to specialize in Hebrew text.
|
19 |
|
20 |
-
For full details of this model please read our [release blog post](https://dicta.org.il/dicta-lm).
|
21 |
|
22 |
This is the full-precision base model.
|
23 |
You can view and access the full collection of base/instruct unquantized/quantized versions of `DictaLM-2.0` [here](https://huggingface.co/collections/dicta-il/dicta-lm-20-collection-661bbda397df671e4a430c27).
|
@@ -98,5 +98,13 @@ DictaLM 2.0 is a pretrained base model and therefore does not have any moderatio
|
|
98 |
If you use this model, please cite:
|
99 |
|
100 |
```bibtex
|
101 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
102 |
```
|
|
|
13 |
|
14 |
[<img src="https://i.ibb.co/5Lbwyr1/dicta-logo.jpg" width="300px"/>](https://dicta.org.il)
|
15 |
|
16 |
+
# Adapting LLMs to Hebrew: Unveiling DictaLM 2.0 with Enhanced Vocabulary and Instruction Capabilities
|
17 |
|
18 |
The DictaLM-2.0 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters trained to specialize in Hebrew text.
|
19 |
|
20 |
+
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).
|
21 |
|
22 |
This is the full-precision base model.
|
23 |
You can view and access the full collection of base/instruct unquantized/quantized versions of `DictaLM-2.0` [here](https://huggingface.co/collections/dicta-il/dicta-lm-20-collection-661bbda397df671e4a430c27).
|
|
|
98 |
If you use this model, please cite:
|
99 |
|
100 |
```bibtex
|
101 |
+
@misc{shmidman2024adaptingllmshebrewunveiling,
|
102 |
+
title={Adapting LLMs to Hebrew: Unveiling DictaLM 2.0 with Enhanced Vocabulary and Instruction Capabilities},
|
103 |
+
author={Shaltiel Shmidman and Avi Shmidman and Amir DN Cohen and Moshe Koppel},
|
104 |
+
year={2024},
|
105 |
+
eprint={2407.07080},
|
106 |
+
archivePrefix={arXiv},
|
107 |
+
primaryClass={cs.CL},
|
108 |
+
url={https://arxiv.org/abs/2407.07080},
|
109 |
+
}
|
110 |
```
|