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
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.
| Plan | Price | What's included |
|---|---|---|
| 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. |
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
| Tool | Best for | Pricing | Score |
|---|---|---|---|
| Amália | — | Free — open weights, dataset and code on Hugging Face | 7.8/10 |
| ChatGPT vs ChatGPT → | — | Free tier + Plus $20/mo + Pro $200/mo | 9.5/10 |
| Claude vs Claude → | — | Free tier + Pro $20/mo + Team $30/mo/user | 9.5/10 |
| Gemini vs Gemini → | — | Free tier + Advanced $19.99/mo | 9.2/10 |
Compare head-to-head
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Ready to try Amália?
Head to the official site to start with Amália — pricing and plans are listed above.
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