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# Ovis2.5
## 论文
[Ovis2.5 Technical Report](https://arxiv.org/abs/2508.11737)
## 模型简介
Ovis2.5专为原生分辨率视觉感知和增强的多模态推理而设计，在图像推理、视频理解和接地基准测试中表现出领先的性能，展现了强大的通用多模态能力。
它集成了一个原生分辨率视觉转换器 (NaViT)，能够以原始可变分辨率处理图像，
无需固定分辨率的平铺，即可同时保留精细细节和整体布局——这对于图表等视觉密集型内容至关重要。
为了增强推理能力，Ovis2.5 不仅基于线性思维链 (CoT) 进行训练，还基于反思性推理进行训练，包括自我检查和修正。
这种高级功能在推理阶段作为可选的思维模式提供，使用户能够以牺牲延迟为代价，换取对复杂输入更高的准确率。
<div align=center>
<img src="./doc/Ovis25_arch.png"/>
</div>
## 环境依赖
| 软件 | 版本 |
|:------------:| :------: |
| DTK | 25.04.2 |
| python | 3.10.12 |
| transformers | 4.57.1 |
| torch | 2.5.1+das.opt1.dtk25042 |
| accelerate | 1.11.0 |
| torchaudio | 2.5.1+das.opt1.dtk25042 |
推荐使用镜像:
- 挂载地址`-v`，`{docker_name}`和 `{docker_image_name}`根据实际模型情况修改
```bash
docker run -it --shm-size 200g --network=host --name {docker_name} --privileged --device=/dev/kfd --device=/dev/dri --device=/dev/mkfd --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -u root -v /path/your_code_path/:/path/your_code_path/ -v /opt/hyhal/:/opt/hyhal/:ro {docker_image_name} bash
示例如下：
docker run -it --shm-size 200g --network=host --name ovis2.5 --privileged --device=/dev/kfd --device=/dev/dri --device=/dev/mkfd --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -u root -v /path/your_code_path/:/path/your_code_path/ -v /opt/hyhal/:/opt/hyhal/:ro image.sourcefind.cn:5000/dcu/admin/base/vllm:0.9.2-ubuntu22.04-dtk25.04.2-py3.10 bash
```
更多镜像可前往[光源](https://sourcefind.cn/#/service-list)下载使用。
关于本项目DCU显卡所需的特殊深度学习库可从[光合](https://developer.sourcefind.cn/tool/)开发者社区下载安装，其它包参照requirements.txt安装：
```
pip install -r requirements.txt
```
## 数据集
`暂无`
## 训练
`暂无`
## 推理
### transformers
#### 单机推理
```bash
sh HIP_VISIBLE_DEVICES=0 python ovis25_infer.py
```
## 效果展示
Input:
- images:
<div align=center>
<img src="./doc/TIlymOb86R6_Mez3bpmcB.png"/>
</div>
- text: "Calculate the sum of the numbers in the middle box in figure (c)."
Output:
<div align=center>
<img src="./doc/result.png"/>
</div>
### 精度
`DCU与GPU精度一致，推理框架：transformers。`
## 预训练权重
| 模型名称 | 权重大小 | DCU型号 | 最低卡数需求 |下载地址|
|:----------:|:----:|:----------:|:---------------------:|:----------:|
| Ovis2.5-2B | 2B | BW1000| 1 | [Hugging Face](https://huggingface.co/AIDC-AI/Ovis2.5-2B) |
| Ovis2.5-9B | 9B | BW1000| 1 | [Hugging Face](https://huggingface.co/AIDC-AI/Ovis2.5-9B) |
## 源码仓库及问题反馈
- 此处填本项目gitlab地址
## 参考资料
- https://github.com/AIDC-AI/Ovis
\ No newline at end of file
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# Ovis
<div align="center">
<img src=docs/ovis_logo.png width="30%"/>
</div>
<br>
<p align="center">
<a href="https://arxiv.org/abs/2508.11737"><img src="https://img.shields.io/badge/📖_Technical_Report-Ovis2.5-b31b1b.svg" alt="technical report"></a>
<a href="https://huggingface.co/spaces/AIDC-AI/Ovis2.5-9B"><img src="https://img.shields.io/badge/🎨_HF_Spaces-AIDC--AI/Ovis2.5--9B-lightblack" alt="demo"></a>
<a href="https://huggingface.co/collections/AIDC-AI/ovis25-689ec1474633b2aab8809335"><img src="https://img.shields.io/badge/🤗_Models-AIDC--AI/Ovis2.5-yellow" alt="models"></a>
</p>
## Introduction
Ovis (Open VISion) is a novel Multimodal Large Language Model (MLLM) architecture, designed to structurally align visual and textual embeddings.
<div style="text-align: center;">
<img style="max-width: 100%;" src="docs/Ovis25_arch.png" alt="Ovis Illustration"/>
</div>
## 🔥 We are hiring!
We are looking for both interns and full-time researchers to join our team, focusing on multimodal understanding, generation, reasoning, AI agents, and unified multimodal models. If you are interested in exploring these exciting areas, please reach out to us at qingguo.cqg@alibaba-inc.com.
## Release
- [25/08/15] 🔥 Launch of [Ovis2.5-2B/9B](https://huggingface.co/AIDC-AI/Ovis2.5-9B), featuring native-resolution visual perception, enhanced reflective reasoning (*thinking mode*), and leading performance across STEM, chart analysis, grounding, and video understanding.
- [25/03/25] 🔥 Announcing quantized versions of Ovis2 series, covering [Ovis2-2/4/8/16/34B](https://huggingface.co/AIDC-AI/Ovis2-34B-GPTQ-Int4)!
- [25/01/26] 🔥 Launch of [Ovis2-1/2/4/8/16/34B](https://huggingface.co/AIDC-AI/Ovis2-34B), the latest version of Ovis models, featuring breakthrough small-model performance, enhanced reasoning capabilities, advanced video and multi-image processing, expanded multilingual OCR support, and improved high-resolution image handling.
- [24/11/26] 🔥 Announcing [Ovis1.6-Gemma2-27B](https://huggingface.co/AIDC-AI/Ovis1.6-Gemma2-27B)!
- [24/11/04] 🔥 Announcing quantized versions of Ovis1.6: [Ovis1.6-Gemma2-9B-GPTQ-Int4](https://huggingface.co/AIDC-AI/Ovis1.6-Gemma2-9B-GPTQ-Int4) and [Ovis1.6-Llama3.2-3B-GPTQ-Int4](https://huggingface.co/AIDC-AI/Ovis1.6-Llama3.2-3B-GPTQ-Int4)!
- [24/10/22] 🔥 Announcing Ovis1.6-Llama3.2-3B ([Model](https://huggingface.co/AIDC-AI/Ovis1.6-Llama3.2-3B), [Demo](https://huggingface.co/spaces/AIDC-AI/Ovis1.6-Llama3.2-3B))!
- [24/09/19] 🔥 Announcing Ovis1.6-Gemma2-9B ([Model](https://huggingface.co/AIDC-AI/Ovis1.6-Gemma2-9B), [Demo](https://huggingface.co/spaces/AIDC-AI/Ovis1.6-Gemma2-9B))! This release further enhances high-resolution image processing, is trained on a larger, more diverse, and higher-quality dataset, and refines the training process with DPO training following instruction-tuning.
- [24/07/24] 🔥 Introducing Ovis1.5, featuring improved high-resolution image processing and optimized training data for enhanced performance.
- [24/06/14] 🔥 Launch of Ovis1.0, the inaugural version of the Ovis model.
## Contents
- [Ovis: Structural Embedding Alignment for Multimodal Large Language Model](#ovis-structural-embedding-alignment-for-multimodal-large-language-model)
- [Release](#release)
- [Contents](#contents)
- [Model](#model)
- [Performance](#performance)
- [Install](#install)
- [Inference](#inference)
- [Model Fine-tuning](#model-fine-tuning)
- [Citation](#citation)
- [Team](#team)
- [License](#license)
- [Disclaimer](#disclaimer)
## Model
Ovis can be instantiated with popular LLMs. We provide the following Ovis MLLMs:
| Ovis MLLMs | ViT | LLM | Model Weights | Demo |
|:-----------|:-----------------------:|:---------------------:|:-------------------------------------------------------:|:--------------------------------------------------------:|
| Ovis2.5-2B | siglip2-so400m-patch16-512 | Qwen3-1.7B | [Huggingface](https://huggingface.co/AIDC-AI/Ovis2.5-2B) | [Space](https://huggingface.co/spaces/AIDC-AI/Ovis2.5-2B) |
| Ovis2.5-9B | siglip2-so400m-patch16-512 | Qwen3-8B | [Huggingface](https://huggingface.co/AIDC-AI/Ovis2.5-9B) | [Space](https://huggingface.co/spaces/AIDC-AI/Ovis2.5-9B) |
## Performance
Ovis2.5 demonstrates strong results on general multimodal benchmarks, complex chart analysis, and reasoning tasks, achieving leading performance among open-source models under 40B parameters.
![performance-Ovis2_5](docs/performance/Ovis2_5_performance.png)
![OC-Ovis2_5](docs/performance/Ovis2_5_OC.png)
![REASON-Ovis2_5](docs/performance/Ovis2_5_reason.png)
## Install
Ovis has been tested with Python 3.10, Torch 2.4.0, Transformers 4.51.3, and DeepSpeed 0.15.4. For a comprehensive list of package dependencies, please consult the `requirements.txt` file.
```bash
git clone git@github.com:AIDC-AI/Ovis.git
conda create -n ovis python=3.10 -y
conda activate ovis
cd Ovis
pip install -r requirements.txt
pip install -e .
```
For `vLLM`:
```bash
pip install vllm==0.10.2 --extra-index-url https://wheels.vllm.ai/0.10.2/
```
## Inference
We provide inference examples using both **transformers** and **vLLM**.
### transformers
In `ovis/serve` we provide three example files:
* **`ovis/serve/infer_think_demo.py`**
Demonstrates how to enable the model’s *reflective reasoning* via
`enable_thinking` and to control the reasoning phase length with `thinking_budget`.
* **`ovis/serve/infer_basic_demo.py`**
Provides inference examples for single-image, multi-image, video, and pure-text inputs.
* **`ovis/serve/web_ui.py`**
Provides a **Gradio-based Web UI** demo.
Example run:
```bash
python ovis/serve/web_ui.py --model-path AIDC-AI/Ovis2.5-9B --port 8001
```
### vLLM
Start the vLLM server:
```bash
vllm serve AIDC-AI/Ovis2.5-9B \
--trust-remote-code \
--port 8000
```
Call the model using the **OpenAI Python SDK**:
```python
from openai import OpenAI
openai_api_key = "EMPTY"
openai_api_base = "http://localhost:8000/v1"
client = OpenAI(
api_key=openai_api_key,
base_url=openai_api_base,
)
chat_response = client.chat.completions.create(
model="AIDC-AI/Ovis2.5-9B",
messages=[
{
"role": "user",
"content": [
{
"type": "image_url",
"image_url": {
"url": "https://cdn-uploads.huggingface.co/production/uploads/637aebed7ce76c3b834cea37/kh-1dhZRAduP-P4SkIhXr.png"
},
},
{"type": "text", "text": "Recognize the table content"},
],
},
],
extra_body={
"chat_template_kwargs": {
"enable_thinking": True,
},
"mm_processor_kwargs": {
"images_kwargs": {
"min_pixels": 1048576, # 1024 * 1024
"max_pixels": 3211264 # 1792 * 1792
}
}
}
)
print("Chat response:\n", chat_response.choices[0].message.content)
```
#### Explanation of `extra_body` parameters:
* **`chat_template_kwargs.enable_thinking`**
Enables *thinking mode* (reflective reasoning).
* **`mm_processor_kwargs.images_kwargs.min_pixels / max_pixels`**
Controls the resolution range of input images (in total pixel count), balancing accuracy and GPU memory usage.
## Model Fine-tuning
Ovis can be fine-tuned using either the provided training code in this repository or via [ms-swift](https://github.com/modelscope/ms-swift).
### 1. Fine-tuning with in-repo code
#### Data Format
The training dataset is stored as a **JSON list**, where each element corresponds to a single sample.
Example dataset JSON:
```jsonc
[
{
"id": 1354,
"image": "1354.png",
"conversations": [
{
"from": "human",
"value": "<image>\nIn the figure, the vertices of quadrilateral ABCD intersect square EFGH and divide its sides into segments with measures that have a ratio of 1:2. Find the ratio between the areas of ABCD and EFGH."
},
{
"from": "gpt",
"value": "5:9"
}
]
}
]
```
#### Dataset Information
Datasets are referenced via **datainfo JSON files**, e.g. `ovis/train/dataset/ovis2_5_sft_datainfo.json`:
```json
{
"geometry3k_local": {
"meta_file": "path/to/geometry3k_local.json",
"storage_type": "hybrid",
"data_format": "conversation",
"image_dir": "path/to/images/"
}
}
```
* `meta_file`: path to the converted dataset JSON file (a list of samples).
* `storage_type`: usually set to `"hybrid"`.
* `data_format`: usually set to `"conversation"`.
* `image_dir`: directory path containing the referenced images.
#### Training Script
We provide example training scripts under `scripts/`.
For instance, to fine-tune Ovis2.5 with SFT:
```bash
bash scripts/run_ovis2_5_sft.sh
```
This script configures the DeepSpeed engine, dataset paths, and model checkpoint initialization. Modify it to match your own dataset and environment.
### 2. Fine-tuning with ms-swift
Alternatively, Ovis models can be fine-tuned using [ms-swift](https://github.com/modelscope/ms-swift), a flexible training framework for LLMs.
## Citation
If you find Ovis useful, please cite the paper
```
@article{lu2025ovis25technicalreport,
title={Ovis2.5 Technical Report},
author={Shiyin Lu and Yang Li and Yu Xia and Yuwei Hu and Shanshan Zhao and Yanqing Ma and Zhichao Wei and Yinglun Li and Lunhao Duan and Jianshan Zhao and Yuxuan Han and Haijun Li and Wanying Chen and Junke Tang and Chengkun Hou and Zhixing Du and Tianli Zhou and Wenjie Zhang and Huping Ding and Jiahe Li and Wen Li and Gui Hu and Yiliang Gu and Siran Yang and Jiamang Wang and Hailong Sun and Yibo Wang and Hui Sun and Jinlong Huang and Yuping He and Shengze Shi and Weihong Zhang and Guodong Zheng and Junpeng Jiang and Sensen Gao and Yi-Feng Wu and Sijia Chen and Yuhui Chen and Qing-Guo Chen and Zhao Xu and Weihua Luo and Kaifu Zhang},
year={2025},
journal={arXiv:2508.11737}
}
@article{lu2024ovis,
title={Ovis: Structural Embedding Alignment for Multimodal Large Language Model},
author={Shiyin Lu and Yang Li and Qing-Guo Chen and Zhao Xu and Weihua Luo and Kaifu Zhang and Han-Jia Ye},
year={2024},
journal={arXiv:2405.20797}
}
```
## Team
This work is a collaborative effort by the Alibaba Ovis team. We would also like to provide links to the following MLLM papers from our team:
- [Parrot: Multilingual Visual Instruction Tuning](https://arxiv.org/abs/2406.02539)
- [Wings: Learning Multimodal LLMs without Text-only Forgetting](https://arxiv.org/abs/2406.03496)
## License
This project is licensed under the [Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0.txt) (SPDX-License-Identifier: Apache-2.0).
## Disclaimer
We used compliance-checking algorithms during the training process, to ensure the compliance of the trained model to the best of our ability. Due to the complexity of the data and the diversity of language model usage scenarios, we cannot guarantee that the model is completely free of copyright issues or improper content. If you believe anything infringes on your rights or generates improper content, please contact us, and we will promptly address the matter.
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1.1 Definitions
(a) "Agreement" or "Gemma Terms of Use" means these terms and conditions that govern the use, reproduction, Distribution or modification of the Gemma Services and any terms and conditions incorporated by reference.
(b) "Distribution" or "Distribute" means any transmission, publication, or other sharing of Gemma or Model Derivatives to a third party, including by providing or making Gemma or its functionality available as a hosted service via API, web access, or any other electronic or remote means ("Hosted Service").
(c) "Gemma" means the set of machine learning language models, trained model weights and parameters identified at ai.google.dev/gemma, regardless of the source that you obtained it from.
(d) "Google" means Google LLC.
(e) "Model Derivatives" means all (i) modifications to Gemma, (ii) works based on Gemma, or (iii) any other machine learning model which is created by transfer of patterns of the weights, parameters, operations, or Output of Gemma, to that model in order to cause that model to perform similarly to Gemma, including distillation methods that use intermediate data representations or methods based on the generation of synthetic data Outputs by Gemma for training that model. For clarity, Outputs are not deemed Model Derivatives.
(f) "Output" means the information content output of Gemma or a Model Derivative that results from operating or otherwise using Gemma or the Model Derivative, including via a Hosted Service.
1.2
As used in this Agreement, "including" means "including without limitation".
Section 2: ELIGIBILITY AND USAGE
2.1 Eligibility
You represent and warrant that you have the legal capacity to enter into this Agreement (including being of sufficient age of consent). If you are accessing or using any of the Gemma Services for or on behalf of a legal entity, (a) you are entering into this Agreement on behalf of yourself and that legal entity, (b) you represent and warrant that you have the authority to act on behalf of and bind that entity to this Agreement and (c) references to "you" or "your" in the remainder of this Agreement refers to both you (as an individual) and that entity.
2.2 Use
You may use, reproduce, modify, Distribute, perform or display any of the Gemma Services only in accordance with the terms of this Agreement, and must not violate (or encourage or permit anyone else to violate) any term of this Agreement.
Section 3: DISTRIBUTION AND RESTRICTIONS
3.1 Distribution and Redistribution
You may reproduce or Distribute copies of Gemma or Model Derivatives if you meet all of the following conditions:
You must include the use restrictions referenced in Section 3.2 as an enforceable provision in any agreement (e.g., license agreement, terms of use, etc.) governing the use and/or distribution of Gemma or Model Derivatives and you must provide notice to subsequent users you Distribute to that Gemma or Model Derivatives are subject to the use restrictions in Section 3.2.
You must provide all third party recipients of Gemma or Model Derivatives a copy of this Agreement.
You must cause any modified files to carry prominent notices stating that you modified the files.
All Distributions (other than through a Hosted Service) must be accompanied by a "Notice" text file that contains the following notice: "Gemma is provided under and subject to the Gemma Terms of Use found at ai.google.dev/gemma/terms".
You may add your own intellectual property statement to your modifications and, except as set forth in this Section, may provide additional or different terms and conditions for use, reproduction, or Distribution of your modifications, or for any such Model Derivatives as a whole, provided your use, reproduction, modification, Distribution, performance, and display of Gemma otherwise complies with the terms and conditions of this Agreement. Any additional or different terms and conditions you impose must not conflict with the terms of this Agreement.
3.2 Use Restrictions
You must not use any of the Gemma Services:
for the restricted uses set forth in the Gemma Prohibited Use Policy at ai.google.dev/gemma/prohibited_use_policy ("Prohibited Use Policy"), which is hereby incorporated by reference into this Agreement; or
in violation of applicable laws and regulations.
To the maximum extent permitted by law, Google reserves the right to restrict (remotely or otherwise) usage of any of the Gemma Services that Google reasonably believes are in violation of this Agreement.
3.3 Generated Output
Google claims no rights in Outputs you generate using Gemma. You and your users are solely responsible for Outputs and their subsequent uses.
Section 4: ADDITIONAL PROVISIONS
4.1 Updates
Google may update Gemma from time to time.
4.2 Trademarks
Nothing in this Agreement grants you any rights to use Google's trademarks, trade names, logos or to otherwise suggest endorsement or misrepresent the relationship between you and Google. Google reserves any rights not expressly granted herein.
4.3 DISCLAIMER OF WARRANTY
UNLESS REQUIRED BY APPLICABLE LAW, THE GEMMA SERVICES, AND OUTPUTS, ARE PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING ANY WARRANTIES OR CONDITIONS OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS OF USING, REPRODUCING, MODIFYING, PERFORMING, DISPLAYING OR DISTRIBUTING ANY OF THE GEMMA SERVICES OR OUTPUTS AND ASSUME ANY AND ALL RISKS ASSOCIATED WITH YOUR USE OR DISTRIBUTION OF ANY OF THE GEMMA SERVICES OR OUTPUTS AND YOUR EXERCISE OF RIGHTS AND PERMISSIONS UNDER THIS AGREEMENT.
4.4 LIMITATION OF LIABILITY
TO THE FULLEST EXTENT PERMITTED BY APPLICABLE LAW, IN NO EVENT AND UNDER NO LEGAL THEORY, WHETHER IN TORT (INCLUDING NEGLIGENCE), PRODUCT LIABILITY, CONTRACT, OR OTHERWISE, UNLESS REQUIRED BY APPLICABLE LAW, SHALL GOOGLE OR ITS AFFILIATES BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY DIRECT, INDIRECT, SPECIAL, INCIDENTAL, EXEMPLARY, CONSEQUENTIAL, OR PUNITIVE DAMAGES, OR LOST PROFITS OF ANY KIND ARISING FROM THIS AGREEMENT OR RELATED TO, ANY OF THE GEMMA SERVICES OR OUTPUTS EVEN IF GOOGLE OR ITS AFFILIATES HAVE BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES.
4.5 Term, Termination, and Survival
The term of this Agreement will commence upon your acceptance of this Agreement (including acceptance by your use, modification, or Distribution, reproduction, performance or display of any portion or element of the Gemma Services) and will continue in full force and effect until terminated in accordance with the terms of this Agreement. Google may terminate this Agreement if you are in breach of any term of this Agreement. Upon termination of this Agreement, you must delete and cease use and Distribution of all copies of Gemma and Model Derivatives in your possession or control. Sections 1, 2.1, 3.3, 4.2 to 4.9 shall survive the termination of this Agreement.
4.6 Governing Law and Jurisdiction
This Agreement will be governed by the laws of the State of California without regard to choice of law principles. The UN Convention on Contracts for the International Sale of Goods does not apply to this Agreement. The state and federal courts of Santa Clara County, California shall have exclusive jurisdiction of any dispute arising out of this Agreement.
4.7 Severability
If any provision of this Agreement is held to be invalid, illegal or unenforceable, the remaining provisions shall be unaffected thereby and remain valid as if such provision had not been set forth herein.
4.8 Entire Agreement
This Agreement states all the terms agreed between the parties and supersedes all other agreements between the parties as of the date of acceptance relating to its subject matter.
4.9 No Waiver
Google will not be treated as having waived any rights by not exercising (or delaying the exercise of) any rights under this Agreement.
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doc/license/LLAMA3_LICENSE 0 → 100644
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META LLAMA 3 COMMUNITY LICENSE AGREEMENT
Meta Llama 3 Version Release Date: April 18, 2024
“Agreement” means the terms and conditions for use, reproduction, distribution and modification of the Llama Materials set forth herein.
“Documentation” means the specifications, manuals and documentation accompanying Meta Llama 3 distributed by Meta at https://llama.meta.com/get-started/.
“Licensee” or “you” means you, or your employer or any other person or entity (if you are entering into this Agreement on such person or entity’s behalf), of the age required under applicable laws, rules or regulations to provide legal consent and that has legal authority to bind your employer or such other person or entity if you are entering in this Agreement on their behalf.
“Meta Llama 3” means the foundational large language models and software and algorithms, including machine-learning model code, trained model weights, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by Meta at https://llama.meta.com/llama-downloads.
“Llama Materials” means, collectively, Meta’s proprietary Meta Llama 3 and Documentation (and any portion thereof) made available under this Agreement.
“Meta” or “we” means Meta Platforms Ireland Limited (if you are located in or, if you are an entity, your principal place of business is in the EEA or Switzerland) and Meta Platforms, Inc. (if you are located outside of the EEA or Switzerland).
By clicking “I Accept” below or by using or distributing any portion or element of the Llama Materials, you agree to be bound by this Agreement.
1. License Rights and Redistribution.
a. Grant of Rights. You are granted a non-exclusive, worldwide, non-transferable and royalty-free limited license under Meta’s intellectual property or other rights owned by Meta embodied in the Llama Materials to use, reproduce, distribute, copy, create derivative works of, and make modifications to the Llama Materials.
b. Redistribution and Use.
i. If you distribute or make available the Llama Materials (or any derivative works thereof), or a product or service that uses any of them, including another AI model, you shall (A) provide a copy of this Agreement with any such Llama Materials; and (B) prominently display “Built with Meta Llama 3” on a related website, user interface, blogpost, about page, or product documentation. If you use the Llama Materials to create, train, fine tune, or otherwise improve an AI model, which is distributed or made available, you shall also include “Llama 3” at the beginning of any such AI model name.
ii. If you receive Llama Materials, or any derivative works thereof, from a Licensee as part of an integrated end user product, then Section 2 of this Agreement will not apply to you.
iii. You must retain in all copies of the Llama Materials that you distribute the following attribution notice within a “Notice” text file distributed as a part of such copies: “Meta Llama 3 is licensed under the Meta Llama 3 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved.”
iv. Your use of the Llama Materials must comply with applicable laws and regulations (including trade compliance laws and regulations) and adhere to the Acceptable Use Policy for the Llama Materials (available at https://llama.meta.com/llama3/use-policy), which is hereby incorporated by reference into this Agreement.
v. You will not use the Llama Materials or any output or results of the Llama Materials to improve any other large language model (excluding Meta Llama 3 or derivative works thereof).
2. Additional Commercial Terms. If, on the Meta Llama 3 version release date, the monthly active users of the products or services made available by or for Licensee, or Licensee’s affiliates, is greater than 700 million monthly active users in the preceding calendar month, you must request a license from Meta, which Meta may grant to you in its sole discretion, and you are not authorized to exercise any of the rights under this Agreement unless or until Meta otherwise expressly grants you such rights.
3. Disclaimer of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN “AS IS” BASIS, WITHOUT WARRANTIES OF ANY KIND, AND META DISCLAIMS ALL WARRANTIES OF ANY KIND, BOTH EXPRESS AND IMPLIED, INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS OF USING OR REDISTRIBUTING THE LLAMA MATERIALS AND ASSUME ANY RISKS ASSOCIATED WITH YOUR USE OF THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS.
4. Limitation of Liability. IN NO EVENT WILL META OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE, ARISING OUT OF THIS AGREEMENT, FOR ANY LOST PROFITS OR ANY INDIRECT, SPECIAL, CONSEQUENTIAL, INCIDENTAL, EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF META OR ITS AFFILIATES HAVE BEEN ADVISED OF THE POSSIBILITY OF ANY OF THE FOREGOING.
5. Intellectual Property.
a. No trademark licenses are granted under this Agreement, and in connection with the Llama Materials, neither Meta nor Licensee may use any name or mark owned by or associated with the other or any of its affiliates, except as required for reasonable and customary use in describing and redistributing the Llama Materials or as set forth in this Section 5(a). Meta hereby grants you a license to use “Llama 3” (the “Mark”) solely as required to comply with the last sentence of Section 1.b.i. You will comply with Meta’s brand guidelines (currently accessible at https://about.meta.com/brand/resources/meta/company-brand/ ). All goodwill arising out of your use of the Mark will inure to the benefit of Meta.
b. Subject to Meta’s ownership of Llama Materials and derivatives made by or for Meta, with respect to any derivative works and modifications of the Llama Materials that are made by you, as between you and Meta, you are and will be the owner of such derivative works and modifications.
c. If you institute litigation or other proceedings against Meta or any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Llama Materials or Meta Llama 3 outputs or results, or any portion of any of the foregoing, constitutes infringement of intellectual property or other rights owned or licensable by you, then any licenses granted to you under this Agreement shall terminate as of the date such litigation or claim is filed or instituted. You will indemnify and hold harmless Meta from and against any claim by any third party arising out of or related to your use or distribution of the Llama Materials.
6. Term and Termination. The term of this Agreement will commence upon your acceptance of this Agreement or access to the Llama Materials and will continue in full force and effect until terminated in accordance with the terms and conditions herein. Meta may terminate this Agreement if you are in breach of any term or condition of this Agreement. Upon termination of this Agreement, you shall delete and cease use of the Llama Materials. Sections 3, 4 and 7 shall survive the termination of this Agreement.
7. Governing Law and Jurisdiction. This Agreement will be governed and construed under the laws of the State of California without regard to choice of law principles, and the UN Convention on Contracts for the International Sale of Goods does not apply to this Agreement. The courts of California shall have exclusive jurisdiction of any dispute arising out of this Agreement.
Meta Llama 3 Acceptable Use Policy
Meta is committed to promoting safe and fair use of its tools and features, including Meta Llama 3. If you access or use Meta Llama 3, you agree to this Acceptable Use Policy (“Policy”). The most recent copy of this policy can be found at https://llama.meta.com/llama3/use-policy
Prohibited Uses
We want everyone to use Meta Llama 3 safely and responsibly. You agree you will not use, or allow others to use, Meta Llama 3 to:
1. Violate the law or others’ rights, including to:
a. Engage in, promote, generate, contribute to, encourage, plan, incite, or further illegal or unlawful activity or content, such as:
i. Violence or terrorism
ii. Exploitation or harm to children, including the solicitation, creation, acquisition, or dissemination of child exploitative content or failure to report Child Sexual Abuse Material
iii. Human trafficking, exploitation, and sexual violence
iv. The illegal distribution of information or materials to minors, including obscene materials, or failure to employ legally required age-gating in connection with such information or materials.
v. Sexual solicitation
vi. Any other criminal activity
b. Engage in, promote, incite, or facilitate the harassment, abuse, threatening, or bullying of individuals or groups of individuals
c. Engage in, promote, incite, or facilitate discrimination or other unlawful or harmful conduct in the provision of employment, employment benefits, credit, housing, other economic benefits, or other essential goods and services
d. Engage in the unauthorized or unlicensed practice of any profession including, but not limited to, financial, legal, medical/health, or related professional practices
e. Collect, process, disclose, generate, or infer health, demographic, or other sensitive personal or private information about individuals without rights and consents required by applicable laws
f. Engage in or facilitate any action or generate any content that infringes, misappropriates, or otherwise violates any third-party rights, including the outputs or results of any products or services using the Llama Materials
g. Create, generate, or facilitate the creation of malicious code, malware, computer viruses or do anything else that could disable, overburden, interfere with or impair the proper working, integrity, operation or appearance of a website or computer system
2. Engage in, promote, incite, facilitate, or assist in the planning or development of activities that present a risk of death or bodily harm to individuals, including use of Meta Llama 3 related to the following:
a. Military, warfare, nuclear industries or applications, espionage, use for materials or activities that are subject to the International Traffic Arms Regulations (ITAR) maintained by the United States Department of State
b. Guns and illegal weapons (including weapon development)
c. Illegal drugs and regulated/controlled substances
d. Operation of critical infrastructure, transportation technologies, or heavy machinery
e. Self-harm or harm to others, including suicide, cutting, and eating disorders
f. Any content intended to incite or promote violence, abuse, or any infliction of bodily harm to an individual
3. Intentionally deceive or mislead others, including use of Meta Llama 3 related to the following:
a. Generating, promoting, or furthering fraud or the creation or promotion of disinformation
b. Generating, promoting, or furthering defamatory content, including the creation of defamatory statements, images, or other content
c. Generating, promoting, or further distributing spam
d. Impersonating another individual without consent, authorization, or legal right
e. Representing that the use of Meta Llama 3 or outputs are human-generated
f. Generating or facilitating false online engagement, including fake reviews and other means of fake online engagement
g. Fail to appropriately disclose to end users any known dangers of your AI system
Please report any violation of this Policy, software “bug,” or other problems that could lead to a violation of this Policy through one of the following means:
* Reporting issues with the model: https://github.com/meta-llama/llama3
* Reporting risky content generated by the model: developers.facebook.com/llama_output_feedback
* Reporting bugs and security concerns: facebook.com/whitehat/info
* Reporting violations of the Acceptable Use Policy or unlicensed uses of Meta Llama 3: LlamaUseReport@meta.com
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doc/license/QWEN_LICENSE 0 → 100644
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Tongyi Qianwen LICENSE AGREEMENT
Tongyi Qianwen Release Date: August 3, 2023
By clicking to agree or by using or distributing any portion or element of the Tongyi Qianwen Materials, you will be deemed to have recognized and accepted the content of this Agreement, which is effective immediately.
1. Definitions
a. This Tongyi Qianwen LICENSE AGREEMENT (this "Agreement") shall mean the terms and conditions for use, reproduction, distribution and modification of the Materials as defined by this Agreement.
b. "We"(or "Us") shall mean Alibaba Cloud.
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.
d. "Third Parties" shall mean individuals or legal entities that are not under common control with Us or You.
e. "Tongyi Qianwen" shall mean the large language models (including Qwen model and Qwen-Chat model), and software and 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.
f. "Materials" shall mean, collectively, Alibaba Cloud's proprietary Tongyi Qianwen and Documentation (and any portion thereof) made available under this Agreement.
g. "Source" form shall mean the preferred form for making modifications, including but not limited to model source code, documentation source, and configuration files.
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,
and conversions to other media types.
2. Grant of Rights
You are granted a non-exclusive, worldwide, non-transferable and royalty-free limited license under Alibaba Cloud'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.
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;
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: "Tongyi Qianwen is licensed under the Tongyi Qianwen LICENSE AGREEMENT, Copyright (c) Alibaba Cloud. All Rights Reserved."; and
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.
4. Restrictions
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.
5. Rules of use
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.
b. You can not use the Materials or any output therefrom to improve any other large language model (excluding Tongyi Qianwen or derivative works thereof).
6. Intellectual Property
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.
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.
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.
7. Disclaimer of Warranty and Limitation of Liability
a. We are not obligated to support, update, provide training for, or develop any further version of the Tongyi Qianwen Materials or to grant any license thereto.
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.
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.
d. You will defend, 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.
8. Survival and Termination.
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.
9. Governing Law and Jurisdiction.
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.
b. The People's Courts in Hangzhou City shall have exclusive jurisdiction over any dispute arising out of this Agreement.
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