Model fiche
Teuken 7B Instruct
By OpenGPT-X · Germany
chat
general
multilingual
fr
Overview
A German government-funded (BMWK) 7B from OpenGPT-X covering all 24 EU languages. The commercial variant is Apache 2.0; the research-v0.4 variant has restricted terms.
When to pick this model
- You need EU sovereignty credentials with German institutional backing
- You're building products across all 24 EU languages
- You need an Apache-licensed European 7B for commercial deployment
- You're working on public-sector or DACH-region projects
VRAM requirements by quantization
| Quantization | VRAM required |
|---|---|
| Q4_K_M (recommended) | 5 GB |
| Q5_K_M | 6 GB |
| Q8_0 | 9 GB |
| FP16 (no quantization) | 14 GB |
VRAM figures include model weights plus a typical 8k KV cache and ~600 MB runtime overhead (Ollama / llama.cpp baseline). Add headroom for higher context lengths.
Strengths
- Built for EU sovereignty
- Covers all 24 official EU languages
- Apache 2.0 commercial variant available
- German government (BMWK) backing
Limitations
- Only 4K context
- No official Ollama tag
- Research-v0.4 variant carries a restricted license — check which you grabbed
Architecture & training
Architecture: Dense · 32 layers · GQA (2 groups) · SwiGLU · RoPE · multilingual tokenizer
Training: 24 EU languages corpus, funded by BMWK (Germany).
Verdict
An EU sovereignty pick with the commercial variant clearly licensed — confirm which variant you're using.
Quick start
# HuggingFace : openGPT-X/Teuken-7B-instruct-commercial-v0.4Or use the open-source MCP server to query this model from Claude Desktop, Cursor, or any MCP-compatible client.