SEA-LION V4: Multimodal Model of Multi east Asia

AI Si Sikipore (AIISG) The Marine's Hultimodal open language is developed in collaboration with Google and Gemma 3 (27b). The model is designed to support Southeast Asia, including those with limited digital resources, and provides comprehension skills and photo. SEA-LION V4 uses a permissible for sale license and is intended to be directly sent to normal Hardware platforms.

Benchmark results: “Little” but the state-of
To test performance to HELM HELM sign-Arourorous multilingual suite specifically designed for the Sea Start Asia Assessment languages (SEA) – Verify V4 v4 power of the lion. In all activities within Burmese, Filipines, Indonesia, Malay, Tamil, Thai, and VietnamV4 reaches a Maximum position between models under 200B parametersand places around the world # 5 of 55 models tested.
This effect hits: The model is not only out of the open peer like Llama 3, QWEN 3, and Gemma 3, but also holding on the fight against the parameters.
- Filipino: 74.53 (V4) vs 74.09 (Gemma 3-27b)
- Malay: 71.31 (V4) vs 71.20 (Gemma 3-27b)
- Tamil: 68.47 (V4) vs 68.45 (Gemma 3-27b)
- Bummese: 57.18 (v4) shortly after Gemma 3's 57.78, EfterformingForming Llama 4 Moe (109b).
In many languages, the V4 of the sea lion work with par with better than models over 3-10x its size. This is the Effective and the power to make it one of the most powerful model found in both research and sector use.
What's new in the Sea V4
The fourth fourth model launched several Huge technological advances That makes it different from both district and global applications:
1. Open the Recess
Unlike most closed models, the V4 is a v4 lion under the Transaction Mistaker LicenseIt reduces the process of getting started, researchers and businesses. Distribution is supported across many natural ways:
- Kisses face (correctly organized and edited models)
- Google Cloud Vertex Ai
- AWS SAGEMAKER
- Grandfather Finding Finding
- Nvidia Nim and Ollama For the ledge slip
This opening verifies v4 of the beach can be integrated on the work travel in all cloud businesses to clouds and in-DIVAY.
2. Working and carrying on a scale
Despite its 27 parameters, SEA-LION V4 is designed to operate almost anywhere. Reference Versions made of FP4 and FP8Users can access:
- <0.5% to work down vs full precision
- Up to 50% Fasting Quickly
- Shipment of Consumer Hardware (eg laptop with 32GB RAMSelected
This function of Demotizes Access: Multimodal high-quality model that require comprehensive infrastructure is available to researchers or developers with modest setup.
3. Multimodality: Text + Vision
SEA-LION V4 First Step The first multimodal release. Otherwise the production of text and understanding, the model can “see,” Interpreting Images, and then enter the multimodal information for the answers. This makes it very difficult for the use of cases such as:
- Analysis of a multilingual document and translation of images
- A question that is based on local languages
- The best of the effective Agentic Agentic
Model and supports 128K token Montinex windowsEnabling an expanded consultation with long documents, text, or multiple turns, critical force of business applications and research.
4. Powerful and orderly cooperation
SEA-LION V4 includes tools in addition to the green generation, including:
- To callCompilation of integrating foreign APIs and agents
- Organized results-Json and generations associated with the Automation Schema at the bottom
- Compliance Agentic Work Travel It is popular in the llms Enterprise Adchange
In partnership, these enhancements extend the SEA-LION V4 over the static Q & A into the actual land applications such as the functioning of the products, research assistants and multimodal business bots.
Trained for Southeast Asia, built for land
The unique foundation of the SEA-LION V4 is its training basis. The model is trained over 1 trillion tokenswith higher emphasis in Southeast Asian Dataia of Asia. This makes it especially power in handling the ministerial languages, languages, and cultural situations, where the land support models fail.
In Philippo's work, of Malay, of Malay, from Tamil, the Sea-Lion V4 is among the models that work well in all parameter. This makes it Ercucial Enabler of Digital Equity In the region where more than 600 million people rely on a variety of languages.
At the same time, because the estate gets you the strongest Gemma's taste, the model always competes in English and global activitiesmaking it a flexible selection of the shipment of the universe.
Store
SEA-LION V4 means that models have 27B models, where developed and trained for specific data, can get competitive results in multilingual activities. It provides multiple languages, multimaled skills, an open license, and various platforms, which contributes to development in the District AI models.
Look The model in the kisses of face including Marine gaming area. Feel free to look our GITHUB page for tutorials, codes and letters of writing. Also, feel free to follow it Sane and don't forget to join ours 100K + ml subreddit Then sign up for Our newspaper.
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