Using SEA-LION 7B on NVIDIA NIM

Implementation guide · SEA-LION · AI Singapore

ProvisionedOpen Weights

NVIDIA NIM exposes SEA-LION 7B through model ID sea-lion-7b. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-05-19. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at NVIDIA NIM and generate an API key.
  2. 2
    Use the NVIDIA NIM SDK or REST API to call sea-lion-7b — see the documentation for request format.
  3. 3
    You'll be billed . See full pricing.
API PortalDocumentationPricingModel Card

Code Examples

See NVIDIA NIM documentation for integration details.

Pricing on NVIDIA NIM

Capabilities

No model capability flags are currently sourced.

About SEA-LION 7B

The SEA-LION 7B model is a state-of-the-art large language model designed for the Southeast Asian region, part of the SEA-LION family. This decoder-only transformer model boasts 7 billion parameters and is based on the MPT architecture. It features a custom SEABPETokenizer with a vocabulary of 256,000 tokens, optimizing performance for Southeast Asian languages. Supporting multiple languages like English, Chinese, and Indonesian, it excels in tasks such as question answering, sentiment analysis, machine translation, and text summarization. Trained on 980 billion tokens, the model effectively captures linguistic and cultural nuances, offering strong performance and accessible open-source resources 235.

Full model details →

Model Specs

Released2024-09-01
Parameters7B
Context4k
ArchitectureDecoder Only

Provider

NVIDIA NIM

NVIDIA

Santa Clara, California, United States