AceGPT-13B

AIDSC/AceGPT-13B

AceGPT-13B is a machine learning model from AIDSC. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

AceGPT is a fully fine-tuned generative text model collection based on LlaMA2, particularly in the Arabic language domain. This is the repository for the 13B pre-trained model.

Downloads · 30 days

27% of all-time downloads

All-time downloads

Public

Repo size

106 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin26 GB · 100%

At a glance

License: apache-2.0
Model type: llama
Access: Public
Created: Oct 23, 2024
Updated: Oct 23, 2024
SHA: 125e2000

Model card

From the Hugging Face model README

<b>AceGPT</b>

AceGPT is a fully fine-tuned generative text model collection based on LlaMA2, particularly in the
Arabic language domain. This is the repository for the 13B pre-trained model.

Model Details

We have released the AceGPT family of large language models, which is a collection of fully fine-tuned generative text models based on LlaMA2, ranging from 7B to 13B parameters. Our models include two main categories: AceGPT and AceGPT-chat. AceGPT-chat is an optimized version specifically designed for dialogue applications. It is worth mentioning that our models have demonstrated superior performance compared to all currently available open-source Arabic dialogue models in multiple benchmark tests. Furthermore, in our human evaluations, our models have shown comparable satisfaction levels to some closed-source models, such as ChatGPT, in the Arabic language.

Model Developers

We are from the School of Data Science, the Chinese University of Hong Kong, Shenzhen (CUHKSZ), the Shenzhen Research Institute of Big Data (SRIBD), and the King Abdullah University of Science and Technology (KAUST).

Variations

AceGPT families come in a range of parameter sizes —— 7B and 13B, each size of model has a base category and a -chat category.

Input

Models input text only.

Output

Models output text only.

Model Evaluation Results

Experiments on Arabic MMLU and EXAMs. ' AverageBest ', ' STEM ', ' Humanities ', ' Social Sciences ' and ' Others (Business, Health, Misc)' belong to Arabic MMLU. Best performance is in bold and the second best is underlined.

Model	Average	STEM	Humanities	Social Sciences	Others (Business, Health, Misc)	EXAMs
Bloomz Muennighoff et al. (2022)	30.95	32.32	26.71	35.85	28.95	33.89
Llama2-7B	28.81	28.48	26.68	29.88	30.18	23.48
Llama2-13B	31.25	31.06	27.11	35.5	31.35	25.45
Jais-13B-base	30.01	27.85	25.42	39.7	27.06	35.67
AceGPT-7B-base	30.36	26.63	28.17	35.15	31.5	31.96
AceGPT-13B-base	<u>37.26</u>	<u>35.16</u>	<u>30.3</u>	<u>47.34</u>	<u>36.25</u>	<u>36.63</u>
ChatGPT	<b>46.07</b>	<b>44.17</b>	<b>35.33</b>	<b>61.26</b>	<b>43.52</b>	<b>45.63 </b>

Samples

Arabic MMLU (5-shot)

فيما يلي أسئلة الاختيار من متعدد (مع الإجابات) حول جبر تجريدي
سؤال: العثور على جميع قيم c في Z_3 بحيث يكون Z_3 [x]/(x^2+c) حقلًا.
A. 0
B. 1
C. 2
D. 3
إجابة: B

سؤال: العبارة 1 | كل عنصر من مجموعة يولد مجموعة دورية من المجموعة. العبارة 2 | المجموعة المتناظرة S_10 لديها 10 عناصر.
A. صحيح، صحيح
B. خطأ، خطأ
C. صحيح، خطأ
D. خطأ، صحيح
إجابة: C

سؤال: البيان 1| كل وظيفة من مجموعة محدودة على نفسها يجب أن تكون واحدة لكل مجموعة. البيان 2 | كل فرع فرعي لمجموعة أبيلية هو أبيلي.
A. صحيح, صحيح
B. خاطئ, خاطئ
C. صحيح, خاطئ
D. خاطئ, صحيح\nإجابة: A

سؤال: اعثر على خاصية الحلقة 2Z.
A. 0
B. 3
C. 12
D. 30
إجابة: A

سؤال: ما هو الدرجة للامتداد الميداني الناتج من Q(sqrt(2), sqrt(3), sqrt(18)) على Q؟
A. 0
B. 4
C. 2
D. 6
إجابة:",

You can get more detail at https://github.com/FreedomIntelligence/AceGPT/tree/main

Type: llama
License: apache-2.0
Languages: ar
Created: Oct 23, 2024
Updated: Oct 23, 2024