A five-university consortium built AMÁLIA, Portugal's first open-source LLM for European Portuguese, for about €7m in PRR funds, launched 1 July 2026 at 9 billion parameters. It is in limited beta with four pilot users; independent press calls it "not yet fully operational".
9 billion parameters
Model parameters (at launch)
7 million EUR
Project cost through 2027 (through 2027)
4 pilot users
Validated pilot users at launch (at launch (1 July 2026))
60+ researchers
Researchers involved in development (development)
32,000 tokens
Context window (at launch)
22 billion parameters
Planned future model size (roadmap by 2027)
Details
Maturity
Pilot
Promoter
Ministério da Reforma do Estado / Agência para a Reforma Tecnológica do Estado (ARTE), with a consortium led by NOVA University Lisbon, Instituto Superior Técnico, and the universities of Coimbra, Porto and Minho
Period
Base version delivered September 2025; publicly unveiled 1 July 2026, roadmap to 2027
Keywords
sovereign large language model, open-source AI, digital sovereignty, public-sector AI infrastructure
Context
Portugal sought sovereign AI infrastructure for European Portuguese amid a broader European debate on AI sovereignty.
Objectives
AMÁLIA is Portugal's first large language model built specifically for European Portuguese, intended as open-source public digital-sovereignty infrastructure.
Activities
Developed by a five-university consortium — coordinated by NOVA University Lisbon with Instituto Superior Técnico and the universities of Coimbra, Porto and Minho, involving more than 60 researchers — the model extends the open, European-funded EuroLLM-9B foundation model to 9 billion parameters, plus separate vision and speech-recognition components and a 32,000-token context window. It was released open-source under an Apache 2.0 licence on Hugging Face, funded through Portugal's Recovery and Resilience Plan (PRR).
Results
Publicly unveiled 1 July 2026, AMÁLIA has no public chat interface and experimental search capability only; it is running in a limited beta with four validated pilot users (museum, science, media and education bodies) for tasks such as answering visitor questions about artworks. The project cost around EUR 7 million through 2027, with a roadmap toward a 22-billion-parameter version by 2027.
Conclusions
Independent Portuguese and international press explicitly caution that the model 'is not yet fully operational,' that it is an adaptation of an existing multilingual model rather than an original build, and that at 9 billion parameters it is far smaller than leading commercial systems — an honest, evidence-thin starting point rather than a finished public-sector deployment.
Implementation
Indicative cost
High (€500k–€5M) — Approximately EUR 7 million total through 2027 (an initial EUR 5.5m plus EUR 1.5m more), funded through Portugal's Recovery and Resilience Plan (PRR).
Time to results
Medium (1–3 years) — Base version delivered September 2025; publicly unveiled 1 July 2026; roadmap to a 22-billion-parameter version by 2027.
Staffing & skills
five-university consortium (NOVA University Lisbon coordinating; Instituto Superior Técnico; universities of Coimbra, Porto, Minho), 60+ researchers, Ministry for State Reform / ARTE (State Technological Reform Agency), Foundation for Science and Technology (FCT) — funding body
Conditions for success
building on an existing open European foundation model (EuroLLM-9B) rather than training from scratch
open-source Apache 2.0 release enabling public bodies, companies and universities to build on it directly
a multi-university research consortium pooling expertise
public PRR funding with a defined roadmap to a larger 22B-parameter version
Common failure modes
no public chat interface at launch; search capability experimental only
only four validated pilot users so far
independent press caution that it is an adaptation of an existing model, not an original build, and far smaller than leading commercial systems
Where it fits
Governance type
national ministry, state agency and university consortium
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