Model Hubs & Serving

NLLB-200-Distilled

Multilingual translation model with over 200 languages support.

Status
Not yet determined
Last checked
Unverified
License
Open source
Pricing
Free tier · from $0
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What it is

The NLLB-200-Distilled is a highly efficient multilingual translation model capable of translating between more than 200 languages. It's part of the Hugging Face Transformers library and has been widely adopted for its broad language coverage and performance.

NLLB-200-Distilled stands out for its broad language support and efficiency, making it ideal for applications needing to handle a wide variety of languages without significant computational overhead.

When it fits — and when it doesn’t

A good fit for

  • Projects requiring support for a wide range of languages.

  • Applications where model efficiency is critical without sacrificing performance.

Look elsewhere if

  • Scenarios where real-time translation speed is the top priority and latency must be minimized.

  • Use cases that require extremely fine-grained control over translation parameters beyond what this model offers.

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited documentation for advanced use cases

    The official documentation lacks detailed examples and explanations for complex translation scenarios, making it difficult to customize the model.

  2. 02

    Performance degradation with less common languages

    Translation accuracy drops significantly for low-resource languages due to limited training data, affecting overall reliability in multilingual applications.

  3. 03

    Dependence on Hugging Face ecosystem

    Integration with other tools and libraries outside the Hugging Face ecosystem can be challenging, leading to vendor lock-in and reduced flexibility.

  4. 04

    Resource-intensive for real-time applications

    The model requires significant computational resources, making it less suitable for real-time translation services without high-end hardware.

What it does well

  • Supports over 200 languages for translation.

  • Efficient and lightweight model architecture.

  • Part of the Hugging Face Transformers library.

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up NLLB-200-Distilled

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →