Last refreshed 2026-05-01. Next refresh: weekly.
Why use SEA-LION 7B on NVIDIA NIM?
NVIDIA NIM offers SEA-LION 7B with competitive pricing. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.
Setup recipe
Docs fallbackUse the provider REST API or SDKCreate a provider API keymodel: sea-lion-7bsea-lion-7bRequest example
sea-lion-7b.Gotchas
No curated gotchas have been sourced for this exact provider/model route yet.
Pricing
| Type | Rate |
|---|---|
| GPU Hour Rate | $1.00/GPU·hr |
| GPU Config | 1xH100 |
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.
FAQ
Who created SEA-LION 7B?
SEA-LION 7B was created by AI Singapore as part of the SEA-LION model family.
Is SEA-LION 7B open source?
SEA-LION 7B's open source status is unknown in the seed data.