Model fiche
EuroLLM 9B Instruct
By Utter Project / UE · European Union
chat
general
multilingual
fr
Overview
An EU-funded 9B (Horizon Europe) covering 35 languages including all 24 official EU ones. Trained on 4T tokens on the MareNostrum5 supercomputer and released under Apache 2.0.
When to pick this model
- You're building EU-focused products that need sovereignty optics
- You need broad coverage of all 24 official EU languages
- You want an Apache 2.0 model from a European institution
- You're working on policy or public-sector projects with EU procurement
VRAM requirements by quantization
| Quantization | VRAM required |
|---|---|
| Q4_K_M (recommended) | 6 GB |
| Q5_K_M | 7 GB |
| Q8_0 | 10 GB |
| FP16 (no quantization) | 18 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
- EU sovereignty — Horizon Europe funded
- Apache 2.0 license
- Best European open model at its scale
- Strong coverage of all 24 official EU languages
Limitations
- Only 4K context — short for modern workloads
- No official Ollama tag
- Outpaced by Qwen 3 8B on general benchmarks
Architecture & training
Architecture: Dense · 42 layers · GQA (32Q/8KV) · SwiGLU · RoPE · RMSNorm
Training: 4T tokens on MareNostrum5 (BSC). 35 languages (24 EU + extras).
Verdict
The natural pick when EU sovereignty or procurement requires a European-trained Apache 2.0 model.
Quick start
# HuggingFace : utter-project/EuroLLM-9B-Instruct (pas d'Ollama officiel)Or use the open-source MCP server to query this model from Claude Desktop, Cursor, or any MCP-compatible client.