Tilde AI releases Tildeopen LLM: an open source large language model with over 30 billion parameters and supports most European languages

Latte Language Technology Company Tilde Published Tildeopen LLMopen source basic big word model (LLM) dedicated European Languagessharply focused on underrepresented and smaller national and regional languages. This is a strategic leap towards linguistic equity and digital sovereignty within the EU.

Under the hood: Construction, Training and Governance

• Public release occurs in September 3, 2025When Tilde passes Hug the face.
• Built as Transformer with only 30 billion parametersThe model is available under the permitted license (CC-BY-4.0) and includes extensive language support from Latvian and Lithuanians to Ukraine, Turkish and beyond.
• Training takes place on EU supercomputers: Lumi (Finland) and Jupiterclick 2 million GPU hours Awarded by the European Commission Large-scale AI Challenge.
• Fine technical details: GPT-Neox script training inspired by Eleutherai 450k update,Consumption ~2 trillion tokens. The training consists of three phases of sampling: unified across languages, natural distribution to improve high data volume-volume language, and ultimately unified scans for balance.
• Hyperparameters: 60 layers, embedded size 6144, 48 attention heads, 8192 token context window, Swiglu activation, rope position coding, rmsnorm layer specification.

Language fairness and data sovereignty

• Mainstream models rely heavily on English and other major languages, resulting in skewed performance when dealing with Baltic, Slavic, or other smaller European languages. This underrepresentation can lead to poor grammatical, awkward wording and hallucinations.
• tildeopen by embedding “Fair Token”no matter the language, it is designed to represent texts similar to texts – also to reduce token counting and improve the inference efficiency of representative languages.
• It is crucial that the organization can Autonomous– In on-premises data centers or in a secure EU-compliant cloud – Ensure compliance with GDPR and other data protection tasks. This solves the sovereignty issues related to the U.S. or Asian hosting model.

Strategic vision: From prototypes to European AI infrastructure

• Tildeopen is the basic “basic” model. More professional versions that are expected to be built on this core are more professional (e.g., instruction-tuning translation models).
• It is also a geological range planting moment: Latvia, positioning itself as Technology exportereager to expand European artificial intelligence infrastructure while preserving linguistic diversity.
• For the study, this move reflects a broader study of multilingual model behaviors – the scope remains. Evaluation shows that even powerful open LLMs can hallucinate or lag in terms of vocabulary accuracy in Baltic languages, thus strengthening the need for local development.

Summary

Tildeopen LLM Restructuring EU AI – Not compliance with regulations, but Technical Management. This is a rooted, high-capacity model with transparent architecture, scalable deployments, and a strong commitment to language equity. It doesn’t indulge in hype; it provides substance.

FAQ

Q1: What is Tildeopen LLM?
Tildeopen is A. 30B parameter multilingual language model After training on EU supercomputers, European languages ​​have been optimized, especially those with underrepresentation.

Q2: How is it different from mainstream LLM?
Unlike the global model of priority English, tildeopen uses Fair token and balance training to ensure fair representation and accuracy of smaller European languages.

Question 3: Can organizations self-host models?
Yes. Uldeopen is open source CC-BY-4.0 Can be deployed in on-premises data centers or in EU-compliant clouds to meet GDPR and data sovereignty Require.

Q4: What are the main use cases?
Government Services, Translation, Education, AI Assistant, Voice Technology and Multilingual Customer Support – Any field required Accurate European language processing.

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