Amália preview
Amália logo
Chatbots Free — open weights, dataset and code on Hugging Face

Amália

Portugal's first open-source LLM, trained on European Portuguese for sovereign AI — weights, dataset and code free on Hugging Face.

Updated 2026-07-18

7.8
AI Score / 10
Visit Amália

Overview

Amália is an open-source large language model built specifically for European Portuguese, released on July 1, 2026 by a government-backed Portuguese university consortium. The weights, training dataset and code are published on Hugging Face under an open license, so anyone can download, fine-tune, self-host or audit the model rather than reach it only through a paid API.

The pitch is sovereignty, not benchmark leadership. Most frontier models treat Portuguese as an afterthought and skew toward Brazilian usage; Amália is trained on European Portuguese data so its grammar, vocabulary and cultural references match how people actually write in Portugal. It's part of a wider European push — alongside efforts in France, Spain and the Nordics — to keep public-sector and language-specific AI on infrastructure that governments and researchers can inspect and control, instead of depending entirely on US labs.

Because it ships as open weights rather than a polished consumer app, the audience is developers, public institutions, and researchers who want a Portuguese-native base model to build on. It's closer in spirit to Meta's Llama or Mistral's open releases than to ChatGPT: the value is the checkpoint and the transparent dataset, not a turnkey chat product. If you need a plug-and-play assistant, a hosted model will be smoother; if you need a Portuguese-language model you can run and modify yourself, this is a rare option.

Key features

European Portuguese focus

Trained specifically on European Portuguese data rather than Brazilian or machine-translated text, so output matches the vocabulary, spelling and register used in Portugal — a gap most global models handle poorly.

Fully open release

Weights, the training dataset and code are all published on Hugging Face under an open license, letting you self-host, fine-tune, and audit exactly what the model was trained on.

Sovereign-AI design

Backed by a Portuguese university consortium as national digital-sovereignty infrastructure, aimed at public-sector and research use where data control and transparency matter more than raw benchmark scores.

Fine-tuning base

As an openly licensed checkpoint it serves as a foundation for downstream Portuguese-language applications — chatbots, document processing, or domain-specific assistants — without per-token API fees.

Pricing

Free tier: Everything is free and open — weights, dataset and code are downloadable from Hugging Face. There is no paid tier; costs are whatever hardware or cloud you run it on.

Open Source Free

Model weights, training dataset and code on Hugging Face under an open license; self-host and fine-tune with no usage fees. You cover your own compute/hosting.

Pros & cons

Pros

  • Only major open LLM tuned specifically for European (not Brazilian) Portuguese
  • Fully open — weights, dataset and code released, so it's auditable and self-hostable
  • No API or usage fees; run it on your own infrastructure
  • Transparent, government-backed provenance that public institutions can trust

Cons

  • ×Not a turnkey app — you need ML/infra skills to deploy and serve it
  • ×Narrow language focus means little value outside Portuguese use cases
  • ×Unlikely to match frontier models like GPT-5.5 or Claude on general reasoning
  • ×Ecosystem, tooling and community support are new and thin compared to Llama or Mistral

How it compares

Compare head-to-head

Related reading

Ready to try Amália?

Head to the official site to start with Amália — pricing and plans are listed above.

Visit Amália
← More Chatbots tools