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TildeOpen LLM

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AI-BOOST
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TildeOpen LLM: Europe’s Sovereign Multilingual AI

An open-source, foundational LLM (Large Language Model) for European languages – secure, adaptable, and ready for governments, institutions, and enterprises. 

Talk to us
Go to Hugging Face

June 2024

Tilde wins
Large AI Grand Challenge 🙌

September 2024

Access to LUMI supercomputer obtained
March 2025

Model training
begins 

September 2025

Model goes live
on Hugging Face 🎉

Your language deserves better AI

Most AI models are built for the world’s major languages – and over 90% of LLM training data is in English. That means Baltic, Slavic, and other European languages are left behind, leading to lower accuracy, weaker cultural understanding, and limited access to high-quality AI tools.
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We've made it happen

That’s why we’ve developed TildeOpen LLM – an open-source foundational large language model with over 30 billion parameters, built to support all European languages. You can fine-tune it to your own needs and deploy it securely – locally or in the cloud – to build trustworthy AI that actually speaks your language. 
Billion parameters
25 +
Focus languages
28 +
GPU hours on LUMI
2 M

Why TildeOpen?

  • Customisable with your own data 
  • Secure and fully in your control 
  • Deployable on-premises or in the cloud
  • Integrates with existing systems and workflows 
  • Built as a foundation for advanced AI solutions
Use cases
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The AI foundation you can trust

TildeOpen is more than a technological achievement. It’s an open-source foundation for custom AI, benefiting over 155 million Europeans.

Custom AI solutions for businesses and organisations 💼 

Adapt TildeOpen to your industry, data, and workflows — from virtual assistants to secure translation, speech tech, and more.

National language model development for governments 🏛️

Build inclusive language models that serve public needs, promote digital sovereignty, and support all official EU languages.

Reliable performance across focus languages

TildeOpen consistently demonstrates strong linguistic accuracy and comprehension in public benchmarks.

(MultiBLiMP)

TildeOpen performs strongly on the MultiBLiMP benchmark, which measures a model’s ability to distinguish between grammatical and ungrammatical sentences. Lower error rates reflect stronger grammar modelling and more reliable text generation. View full benchmark results.
TildeOpen delivers higher efficiency in morphology-rich European languages thanks to a tokeniser and architecture designed specifically for them. Compared to LLaMA-3, it is 41% more efficient in Latvian, 37% in Lithuanian, 31% inFinnish, and 28% in Estonian and Polish, while also surpassing GPT and Mistral models. This translates to faster text generation performance in local deployments and consequently lower running costs for the same amount of data. View full benchmark results.
TildeOpen-30B achieves a state-of-the-art result on the Belebele reading comprehension benchmark, with an average accuracy of 84.7%. The model outperforms other locally deployable models such as Gemma-27B, ALIA-40B and EuroLLM-22B. View full benchmark results.

Powered by supercomputers, backed by Europe 

The development of TildeOpen is supported by the European Commission and powered by EuroHPC JU’s top-tier supercomputers – LUMI and Jupiter. By winning the Large AI Grand Challenge, we’ve been granted 2 million GPU hours on LUMI to execute this ambitious project.

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Contribute to a multilingual future

To build a strong multilingual LLM with over 30B parametrs, we’re looking for language data from across Europe. We welcome contributions from authors, publishers, state libraries, and other partners –  with flexible terms that work for you. 
Contact us to collaborate 
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Data providers that have already contributed to the project:

Our promise

Committing to open collaboration 🤝

Governments can leverage TildeOpen to create tailored language models that improve public service accessibility for all citizens.

Open access 🔓

TildeOpen will be available for both commercial and non-commercial use under a permissive license, published in Hugging Face and ELRC-SHARE.

Integrity and security 🛡️
We’re continuously working towards minimising harmful or inaccurate content in TildeOpen, so it can be a trusted resource for diverse public use cases.
Knowledge sharing 📚

We are committed to collaboration and sharing insights, inviting partners to work with us in advancing TildeOpen for the benefit of all.

Build AI that speaks your language  

TildeOpen gives you the foundation to create secure and sovereign AI. Explore the model now
or talk to us about tailoring it to your needs.

Talk to us
Go to Hugging Face

Frequently asked questions

Custom machine translation, often referred to as MT, is a specialised translation approach in which machine translation engines are trained and tailored to meet the specific needs, terminology, and language nuances of a particular business or industry.
Unlike generic machine translation services, custom MT allows users to customise translation engines according to their unique requirements, ensuring accuracy, consistency, and alignment with the chosen terminology and tone of voice.
The project targets Eastern European and Baltic languages such as Bulgarian, Croatian, Czech, Estonian, Finnish, Latvian, Lithuanian, Macedonian, Montenegrin, Polish, Serbian, Slovak, Slovene, and Ukrainian. The model will also support bigger languages such as English, French, German and Russian in balanced proportions to support translation and related multilingual tasks.
Much like the MT engine itself, the price is customised and depends on the chosen features. Contact our sales team to discuss your needs, options, and pricing.
The purpose of the Large AI Grand Challenge, funded by the European Commission, is to expand European AI frontiers by harnessing the potential of large-scale AI models. The participants in the competition were innovative startups and SMEs with the technical capacity to develop AI models that boost Europe’s competitiveness in Generative AI. The European Commission has announced the winners of the Large AI Grand Challenge. Four innovative AI companies from Europe, including Tilde, will share a prize of €1 million and 8 million computational hours to advance Europe’s leadership in AI development.
No, users don’t need to train the custom machine translation engine themselves. Our experts will tailor the engine according to the client’s needs, terminology, and language nuances.