The Data Center provides an AI service for JGU. This includes various large language models.
Log in
You will need a JGU account to log in. The AI chat is initially available to employees. The offer for students is currently being prepared.
Log in at https://ki-chat.uni-mainz.de with the login details of your JGU account.
Technical Basics
The ZDV controls and hosts the service itself, so the data (except for the web search) remains within JGU.
Available AI Models
In future, it is planned to update the models once per semester. Where possible, this will take place during the lecture-free period and will be announced in advance.
| AI Model | Description | Origin/Level of Knowlege | Usage |
| GPT OSS 120B | Highly efficient model, requires less computing power, comparable to o3-mini/o4-mini, optional reasoning** for improved logic capabilities | OpenAI, Release 08/2025, Level of Knowledge 06/2024 |
General chat application, create and summarize texts |
| Qwen3 235B (Thinking) |
Duo of two models with top performance, especially in STEM* and coding applications (with reasoning) or text work (without reasoning) | Alibaba Cloud, Release 07/2025, Level of Knowledge 2024 |
STEM* (Reasoning on) Agentic Coding (on/off) Text work (off) Detailed knowledge (off) |
| Gemma3 27B | Multimodal processing of text & images, trained on over 140 languages, very efficient | Google, Release 03/2025, Level of Knowledge 08/2024 |
Image processing Text processing |
| Qwen2.5 Coder 32B | Specialized in programming tasks, accurate & fast coding at the level of the best models without reasoning | Alibaba Cloud, Release 08/2025, Level of Knowledge 10/2024 |
Low-complexity coding |
*Science, Technology, Engineering and Mathematics
More Information in our latest Post:
https://www.en-zdv.uni-mainz.de/2025/09/17/new-ai-models-for-the-university-ai-chat/
System Components
- Frontend (OpenWebUI): User interface for interaction.
- Load balancer (LiteLLM): Central interface to AI server(s).
- AI server (vllm): Executes the AI models on the GPUs.
Overview of Functions and Applications
News and Plans
All Posts and News combined: https://www.en-zdv.uni-mainz.de/tag/ai/
We are currently working on the following projects:
- Enabling additional features for the workspace (prompts, knowledge base, etc.)
- Auto mode, i.e., the most suitable model is automatically selected depending on the prompt
- Tool-calling integrations (e.g., search in arXiv)
Overview of Frequently Asked Questions (FAQ)
- How long can I save Chats?
- How can I share and export Chats?
- How can I upload Files and what do I need to consider?
- How does voice-based interaction (voice input and audio processing) work?
How do I optomize my Results?
For optimal results, please formulate your query in English. English is clearly dominant in the training data for all AI models.
Data Protection
All components of the system are hosted and operated by the university's Data Center , which means that all data remains exclusively on Data Center servers.
The only exception is the web search function. When web search is activated, the user's prompt is enriched with additional information. This could be the current date, for example. If necessary, the prompt is sent in summary form to our search provider Tavily (https://www.tavily.com/) in order to answer the search query. The prompt is then discarded in accordance with the contract/settings.
As a rule, no files or images are sent along with the prompt. In some cases, however, the model that generates the search query may use relevant information from the context to enrich the query.
Support
Please send your current support requests to digitale-lehre@uni-mainz.de.
Informations on the topic AI in university education:
https://digitale-lehre.uni-mainz.de/ki-in-der-hochschulbildung/ (german only)