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Model: SeaLLMs/SeaLLMs-v3-7B Source: Original Platform
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53
LICENSE
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LICENSE
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SeaLLMs LICENSE AGREEMENT
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SeaLLMs Release Date: December 5, 2023
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By clicking to agree or by using or distributing any portion or element of the SeaLLMs Materials, you will be deemed to have recognized and accepted the content of this Agreement, which is effective immediately.
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|
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1. Definitions
|
||||
a. This SeaLLMs LICENSE AGREEMENT (this "Agreement") shall mean the terms and conditions for use, reproduction, distribution and modification of the Materials as defined by this Agreement.
|
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b. "We"(or "Us") shall mean Damo Academy.
|
||||
c. "You" (or "Your") shall mean a natural person or legal entity exercising the rights granted by this Agreement and/or using the Materials for any purpose and in any field of use.
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||||
d. "Third Parties" shall mean individuals or legal entities that are not under common control with Us or You.
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e. "SeaLLMs" shall mean the large language models (including different model versions), and software and
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algorithms, consisting of trained model weights, parameters (including optimizer states), machine-learning model code, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by Us.
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f. "Materials" shall mean, collectively, Damo Academy's proprietary SeaLLMs and Documentation (and any portion thereof) made available under this Agreement.
|
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g. "Source" form shall mean the preferred form for making modifications, including but not limited to model source code, documentation source, and configuration files.
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h. "Object" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation,
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and conversions to other media types.
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|
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2. Grant of Rights
|
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You are granted a non-exclusive, worldwide, non-transferable and royalty-free limited license under Damo Academy's intellectual property or other rights owned by Us embodied in the Materials to use, reproduce, distribute, copy, create derivative works of, and make modifications to the Materials.
|
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|
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3. Redistribution
|
||||
You may reproduce and distribute copies of the Materials or derivative works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions:
|
||||
a. You shall give any other recipients of the Materials or derivative works a copy of this Agreement;
|
||||
b. You shall cause any modified files to carry prominent notices stating that You changed the files;
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||||
c. You shall retain in all copies of the Materials that You distribute the following attribution notices within a "Notice" text file distributed as a part of such copies:"SeaLLMs is licensed under the SeaLLMs LICENSE AGREEMENT, Copyright (c) Damo Academy. All Rights Reserved."; and
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d. You may add Your own copyright statement to Your modifications and may provide additional or different license terms and conditions for use, reproduction, or distribution of Your modifications, or for any such derivative works as a whole, provided Your use, reproduction, and distribution of the work otherwise complies with the terms and conditions of this Agreement.
|
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|
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4. Restrictions
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||||
If you are commercially using the Materials, and your product or service has more than 100 million monthly active users, You shall request a license from Us. You cannot exercise your rights under this Agreement without our express authorization.
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5. Rules of use
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a. The Materials may be subject to export controls or restrictions in China, the United States or other countries or regions. You shall comply with applicable laws and regulations in your use of the Materials.
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b. You can not use the Materials or any output therefrom to improve any other large language model (excluding SeaLLMs or derivative works thereof).
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6. Intellectual Property
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||||
a. We retain ownership of all intellectual property rights in and to the Materials and derivatives made by or for Us. Conditioned upon compliance with the terms and conditions of this Agreement, with respect to any derivative works and modifications of the Materials that are made by you, you are and will be the owner of such derivative works and modifications.
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b. No trademark license is granted to use the trade names, trademarks, service marks, or product names of Us, except as required to fulfill notice requirements under this Agreement or as required for reasonable and customary use in describing and redistributing the Materials.
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||||
c. If you commence a lawsuit or other proceedings (including a cross-claim or counterclaim in a lawsuit) against Us or any entity alleging that the Materials or any output therefrom, or any part of the foregoing, infringe any intellectual property or other right owned or licensable by you, then all licences granted to you under this Agreement shall terminate as of the date such lawsuit or other proceeding is commenced or brought.
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7. Disclaimer of Warranty and Limitation of Liability
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a. We are not obligated to support, update, provide training for, or develop any further version of the SeaLLMs Model or to grant any license thereto.
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b. THE MATERIALS ARE PROVIDED "AS IS" WITHOUT ANY EXPRESS OR IMPLIED WARRANTY OF ANY KIND INCLUDING WARRANTIES OF MERCHANTABILITY, NONINFRINGEMENT, OR FITNESS FOR A PARTICULAR PURPOSE. WE MAKE NO WARRANTY AND ASSUME NO RESPONSIBILITY FOR THE SAFETY OR STABILITY OF THE MATERIALS AND ANY OUTPUT THEREFROM.
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c. IN NO EVENT SHALL WE BE LIABLE TO YOU FOR ANY DAMAGES, INCLUDING, BUT NOT LIMITED TO ANY DIRECT, OR INDIRECT, SPECIAL OR CONSEQUENTIAL DAMAGES ARISING FROM YOUR USE OR INABILITY TO USE THE MATERIALS OR ANY OUTPUT OF IT, NO MATTER HOW IT’S CAUSED.
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d. You will indemnify and hold harmless Us from and against any claim by any third party arising out of or related to your use or distribution of the Materials.
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8. Survival and Termination.
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a. The term of this Agreement shall commence upon your acceptance of this Agreement or access to the Materials and will continue in full force and effect until terminated in accordance with the terms and conditions herein.
|
||||
b. We may terminate this Agreement if you breach any of the terms or conditions of this Agreement. Upon termination of this Agreement, you must delete and cease use of the Materials. Sections 7 and 9 shall survive the termination of this Agreement.
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|
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9. Governing Law and Jurisdiction.
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||||
a. This Agreement and any dispute arising out of or relating to it will be governed by the laws of China, without regard to conflict of law principles, and the UN Convention on Contracts for the International Sale of Goods does not apply to this Agreement.
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b. The People's Courts in Hangzhou City shall have exclusive jurisdiction over any dispute arising out of this Agreement.
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---
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license: other
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license_name: seallms
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license_link: https://huggingface.co/SeaLLMs/SeaLLM-13B-Chat/blob/main/LICENSE
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language:
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- en
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- zh
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- id
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- vi
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- th
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- ms
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tags:
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- sea
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- multilingual
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---
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# *SeaLLMs-v3 - Large Language Models for Southeast Asia*
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<p align="center">
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<a href="https://damo-nlp-sg.github.io/SeaLLMs/" target="_blank" rel="noopener">Website</a>
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<a href="https://huggingface.co/SeaLLMs/SeaLLMs-v3-7B" target="_blank" rel="noopener">Model</a>
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<a href="https://huggingface.co/spaces/SeaLLMs/SeaLLM-Chat" target="_blank" rel="noopener"> 🤗 DEMO</a>
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<a href="https://github.com/DAMO-NLP-SG/SeaLLMs" target="_blank" rel="noopener">Github</a>
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<a href="https://arxiv.org/pdf/2407.19672" target="_blank" rel="noopener">[NEW] Technical Report</a>
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</p>
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We introduce **SeaLLMs-v3**, the latest series of the SeaLLMs (Large Language Models for Southeast Asian languages) family. It achieves state-of-the-art performance among models with similar sizes, excelling across a diverse array of tasks such as world knowledge, mathematical reasoning, translation, and instruction following. In the meantime, it was specifically enhanced to be more trustworthy, exhibiting reduced hallucination and providing safe responses, particularly in queries closed related to Southeast Asian culture.
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## 🔥 Highlights
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- State-of-the-art performance compared to open-source models of similar sizes, evaluated across various dimensions such as human exam questions, instruction-following, mathematics, and translation.
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- Significantly enhanced instruction-following capability, especially in multi-turn settings.
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- Ensures safety in usage with significantly reduced instances of hallucination and sensitivity to local contexts.
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## Uses
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SeaLLMs is tailored for handling a wide range of languages spoken in the SEA region, including English, Chinese, Indonesian, Vietnamese, Thai, Tagalog, Malay, Burmese, Khmer, Lao, Tamil, and Javanese.
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This page introduces the **SeaLLMs-v3-7B** model, which can be fine-tuned for your specific downstream tasks, especially in SEA languages.
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Note that this is a base model, if you are looking for a model that can be directly applicable to your downstream applications, you may want to check the chat version model: **[SeaLLMs-v3-7B-Chat](https://huggingface.co/SeaLLMs/SeaLLMs-v3-7B-Chat)**.
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## Evaluation
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We evaluate SeaLLMs-v3-7B using human exam questions and mathematics.
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#### Multilingual World Knowledge - M3Exam
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[M3Exam](https://arxiv.org/abs/2306.05179) consists of local exam questions collected from each country. It reflects the model's world knowledge (e.g., with language or social science subjects) and reasoning abilities (e.g., with mathematics or natural science subjects).
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| Model | en | zh | id | th | vi | avg | avg_sea |
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| :--------------------- | --------: | --------: | --------: | --------: | --------: | --------: | --------: |
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| Gemma-7B | 0.732 | 0.519 | 0.475 | 0.460 | 0.594 | 0.556 | 0.510 |
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| Sailor-7B-Chat | 0.660 | 0.652 | 0.475 | 0.462 | 0.513 | 0.552 | 0.483 |
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| SeaLLM-7B-v2.5 | 0.758 | 0.581 | 0.499 | 0.502 | 0.622 | 0.592 | 0.541 |
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| Sailor-14B | 0.748 | 0.840 | 0.536 | 0.528 | 0.621 | 0.655 | 0.562 |
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| Sailor-14B-Chat | 0.749 | 0.843 | 0.553 | 0.566 | 0.637 | 0.670 | 0.585 |
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| Qwen2-7B | **0.815** | 0.874 | 0.530 | 0.479 | 0.628 | 0.665 | 0.546 |
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| Qwen2-7B-Instruct | 0.809 | **0.880** | 0.558 | 0.555 | 0.624 | 0.685 | 0.579 |
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| **SeaLLMs-v3-7B** | 0.809 | 0.863 | 0.545 | 0.530 | 0.628 | 0.675 | 0.568 |
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| **SeaLLMs-v3-7B-Chat** | 0.809 | 0.874 | **0.558** | **0.569** | **0.649** | **0.692** | **0.592** |
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#### Multilingual World Knowledge - MMLU
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[MMLU](https://arxiv.org/abs/2009.03300) questions are translated to SEA languages for evaluation, which primarily tests the cross-lingual alignment of the model as the required knowledge is still mainly Western-focused.
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| Model | en | zh | id | th | vi | avg | avg_sea |
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| :--------------------- | --------: | --------: | --------: | --------: | --------: | --------: | --------: |
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| Gemma-7B | 0.634 | 0.509 | 0.545 | 0.490 | 0.494 | 0.535 | 0.510 |
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| Sailor-7B-Chat | 0.558 | 0.472 | 0.484 | 0.414 | 0.462 | 0.478 | 0.454 |
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| SeaLLM-7B-v2.5 | 0.652 | 0.544 | 0.565 | 0.479 | 0.528 | 0.553 | 0.524 |
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| Sailor-14B | 0.618 | 0.564 | 0.570 | 0.482 | 0.535 | 0.554 | 0.529 |
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| Sailor-14B-Chat | 0.627 | 0.561 | 0.567 | 0.496 | 0.541 | 0.558 | 0.535 |
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| Qwen2-7B | 0.710 | 0.642 | 0.602 | 0.520 | 0.566 | 0.608 | 0.563 |
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| Qwen2-7B-Instruct | 0.708 | 0.635 | 0.599 | 0.524 | 0.568 | 0.607 | 0.564 |
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| **SeaLLMs-v3-7B** | 0.706 | **0.654** | 0.617 | 0.536 | **0.587** | 0.620 | 0.580 |
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| **SeaLLMs-v3-7B-Chat** | **0.713** | 0.647 | **0.625** | **0.544** | 0.578 | **0.622** | **0.582** |
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#### Multilingual Math - MGSM
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We evaluate the multilingual math capability by utilizing the [MGSM](https://arxiv.org/abs/2210.03057) dataset with a **5-shot prompting** approach. MGSM originally contains English, Chinese and Thai testing sets only, we use Google Translate to translate the same English questions into other SEA languages. Note that we adopt the tradition of each country to represent the number, e.g., in Indonesian and Vietnamese, dots are used as thousands separators and commas as decimal separators, the opposite of the English system.
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| MGSM | en | id | ms | th | vi | zh | avg |
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| :---------------- | -------: | -------: | -------: | -------: | -------: | -------: | -------: |
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| Gemma-7B | 64.8 | 41.2 | 43.2 | 38.0 | 34.0 | 39.6 | 43.5 |
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| Sailor-7B | 34.4 | 25.2 | 22.8 | 24.8 | 22.4 | 26.4 | 26.0 |
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| Meta-Llama-3-8B | 56.8 | 36.0 | 33.6 | 34.8 | 33.6 | 43.6 | 39.7 |
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| GLM-4-9B | 78.0 | 53.6 | **57.2** | 46.0 | **56.8** | 69.6 | 60.2 |
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| Qwen2-7B | **79.6** | 58.8 | 56.8 | 54.8 | 54.8 | 69.2 | 62.3 |
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| **SeaLLMs-v3-7B** | 78.8 | **59.2** | 56.8 | **56.8** | 54.8 | **72.0** | **63.1** |
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## Acknowledgement to Our Linguists
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We would like to express our special thanks to our professional and native linguists, Tantong Champaiboon, Nguyen Ngoc Yen Nhi and Tara Devina Putri, who helped build, evaluate, and fact-check our sampled pretraining and SFT dataset as well as evaluating our models across different aspects, especially safety.
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## Citation
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If you find our project useful, we hope you would kindly star our repo and cite our work as follows:
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```
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@article{damonlp2024seallm3,
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author = {Wenxuan Zhang*, Hou Pong Chan*, Yiran Zhao*, Mahani Aljunied*,
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Jianyu Wang*, Chaoqun Liu, Yue Deng, Zhiqiang Hu, Weiwen Xu,
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Yew Ken Chia, Xin Li, Lidong Bing},
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title = {SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages},
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year = {2024},
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url = {https://arxiv.org/abs/2407.19672}
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}
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```
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Corresponding Author: l.bing@alibaba-inc.com
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||||
}
|
||||
}
|
||||
14
special_tokens_map.json
Normal file
14
special_tokens_map.json
Normal file
@@ -0,0 +1,14 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>"
|
||||
],
|
||||
"eos_token": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": "<|endoftext|>"
|
||||
}
|
||||
303111
tokenizer.json
Normal file
303111
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
43
tokenizer_config.json
Normal file
43
tokenizer_config.json
Normal file
@@ -0,0 +1,43 @@
|
||||
{
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"151644": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"151645": {
|
||||
"content": "<|im_end|>",
|
||||
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|
||||
"normalized": false,
|
||||
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|
||||
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|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
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|
||||
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|
||||
],
|
||||
"bos_token": null,
|
||||
"chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|endoftext|>",
|
||||
"errors": "replace",
|
||||
"model_max_length": 32768,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user