North Small Translate released, an open-weights model for 50+ languages

We're pleased to announce the release of North Small Translate, an open-weights mixture-of-experts model purpose-built for machine translation across more than 50 languages.

North Small Translate is designed to give researchers, developers, and enterprises flexible ways to evaluate and deploy machine translation while retaining control over their data and infrastructure.

Key features

• Purpose-built translation: Optimized for machine translation across more than 50 languages and locale variants.
• Efficient MoE architecture: 218 billion total parameters with 25 billion active parameters.
• Flexible deployment: Available through the free-tier Chat V2 API and as open weights in W4A16, FP8, and BF16 for non-commercial use.
• Private deployment: Suggested deployment hardware by quantization format:
  • W4A16: Two H100s or one B200
  • FP8: Four H100s or two B200s
  • BF16: Eight H100s or four B200s

Technical details

• Model name: north-small-translate-1.0
• Context length: 16K
• License: Creative Commons Attribution-NonCommercial 4.0
• Open-weights formats: W4A16, FP8, and BF16

Availability

North Small Translate is available on the free tier through the Chat V2 API. Open weights are available in W4A16, FP8, and BF16 on Hugging Face for non-commercial use under the CC BY-NC 4.0 license.

For supported languages, use cases, and an API example, see the model documentation.