SEA-LION Documentation
SEA-LION.AISEA-HELM LeaderboardPlaygroundAquarium
  • Overview
    • SEA-LION
      • Motivations
      • Contributing
      • Code of Conduct
      • FAQ
  • Models
    • SEA-LION v3.5 (Latest)
      • Llama-SEA-LION-v3.5-8B
      • Llama-SEA-LION-v3.5-70B
    • SEA-LION v3
      • Gemma-SEA-LION-v3-9B
      • Llama-SEA-LION-v3-8B
      • Llama-SEA-LION-v3-70B
    • SEA-LION v2
    • SEA-LION v1
    • SEA-LION Foundation Family
    • Getting the models
  • Benchmarks
    • SEA-HELM
  • Guides
    • Inferencing
      • SEA-LION API
      • Google Vertex AI
  • Resources
    • Publications
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@ 2025 AI Singapore

On this page
  • 1. Collaboration Opportunities
  • Self-Service Model Usage
  • Joint Model Building
  • Research Partnerships
  • 2. Community Contributions
  • Getting Started
  • Reporting Bugs
  • Suggesting Enhancements
  • Code of Conduct
  • Get Help
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  1. Overview
  2. SEA-LION

Contributing

Launched in May 2017, AI Singapore is a national R&D programme in AI – the very first of its kind on a national level. Through SEA-LION, we aim to support under-represented population groups and low-resource languages in Southeast Asia. We welcome collaborations that further enhance our work and help our shared mission of democratizing AI.

We invite researchers, developers, language enthusiasts, and organizations to collaborate in enhancing and expanding the capabilities of our models. This page outlines the various ways you can work with us—whether it’s joint model building, research partnerships, code contributions, documentation improvements, or data sharing.

We appreciate your interest in contributing to SEA-LION, and we look forward to collaborating with you!

1. Collaboration Opportunities

We offer various partnership modalities to suit different needs and interests, with a focus on open-sourcing results to benefit the wider community. For collaborations other than a self-serve model, an NDA/MOU/CA may have to be signed by both parties.

Self-Service Model Usage

Using our model (self-service)

SEA-LION models are open-source so do feel free to download them for your own needs. If SEA-LION manages to be helpful to you/your team, we would love to hear about it and share your successes with our wider commnunity. Send us a note at sealion@aisingapore.org.

Joint Model Building

Building models together, Data contributions

Have a unique dataset or domain expertise? Contribute data that we can incorporate into future SEA-LION releases. Collaborate with us to train specialized or improved versions of SEA-LION that will be open-sourced, benefiting both you and the broader community.

Research Partnerships

If there are areas of research topics where you think that AISG and yourself can work together to work on a common research agenda that can further the work of SEA-LION, please feel free to reach out to us as well. We will be open to joint publications arising from these collaborations too.

If you are interested in any form of collaboration, please feel free to reach out to sealion@aisingapore.org

2. Community Contributions

In addition to formal partnerships, there are many individual and community-driven ways to help SEA-LION grow. Whether it’s fixing bugs, improving documentation, or proposing new features, as a developer, researcher, or just an enthusiast, your input matters.

Before you begin, please take a moment to review this guide, which outlines the contribution process, code of conduct, and how to get help if needed.

Getting Started

Before you start contributing, please ensure you have the following:

  • Familiarity with Git: You'll need to know the basics of Git for version control.

Reporting Bugs

To report a bug:

  1. If not, create a new issue with a descriptive title and detailed description of the problem you encountered.

  2. Include relevant information such as your operating system, Python version, and any error messages.

Suggesting Enhancements

We appreciate your suggestions for improving SEA-LION. If you have an idea for an enhancement or new feature, follow these steps:

  1. If not, create a new issue with a clear and concise title and a detailed description of your suggestion.

  2. Include any relevant context or examples to illustrate the enhancement's value.

Code of Conduct

Get Help

If you have questions, need assistance, or want to discuss contributions further, please feel free to contact us or open an issue for discussion.

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Last updated 2 months ago

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