# SEA-LION v3

SEA-LION version 3, released in Dec 2024, is a collection of 3 models (and their variants), each with their unique strengths:

* [Gemma-SEA-LION-v3-9B](/models/sea-lion-v3/gemma-sea-lion-v3-9b.md), based on Gemma2, is our best performing SEA-LION v3 model on SEA-HELM benchmarks for similar sized models
* [Llama-SEA-LION-v3-8B](/models/sea-lion-v3/llama-sea-lion-v3-8b.md), based on Llama 3.1 8B, now provides a larger context length of 128K
* [Llama-SEA-LION-v3-70B](/models/sea-lion-v3/llama-sea-lion-v3-70b.md), based on Llama 3.1 70B, is our largest model to date, also providing a 128K context length

With enhanced natural language reasoning (NLR) abilities and superior instruction-following in SEA languages, SEA-LION v3 sets new standards in multilingual AI for the region.

For detailed information of each of the SEA-LION v3 models, please refer to their individual documentation pages via the links above.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.sea-lion.ai/models/sea-lion-v3.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
