innFactory AI Consulting based in Rosenheim, Germany supports enterprises across the DACH region with GDPR-compliant self-hosting of Meta Llama. With open weights you have full control – no data leaves your infrastructure.
Muse Spark: Successor to Llama (April 2026)
On April 9, 2026, Meta announced Muse Spark through its new Meta Superintelligence Labs division as the successor to the Llama family. Details on architecture, parameter count, and licensing remain scarce.
Note: EU availability and licensing for Muse Spark are not yet known. We recommend monitoring Muse Spark for now and continuing to use Llama 3.3 70B or Mistral for production EU applications.
Important Notice: EU Licensing Restriction for Llama 4
The Llama 4 Community License explicitly prohibits use and distribution within the EU. Companies domiciled or with their main place of business in the EU may not use or host Llama 4 Scout or Maverick. For EU enterprises, we recommend Llama 3.3 70B or alternatively Mistral as a European open-source alternative.
Llama 4: Technical Excellence – Without EU Access
Llama 4 Maverick (400B MoE)
- 128 experts, 17B active parameters per token
- 1M token context window
- Natively multimodal (text, image, video)
- Outperforms GPT-4 on reasoning and coding benchmarks
Llama 4 Scout (109B MoE)
- 16 experts, 17B active parameters
- 10M token context window – industry-unique
- Runs on a single H100 80GB (INT4)
- Ideal for massive document analysis and codebase parsing
Llama 4 Behemoth (announced)
- ~2 trillion parameters, 288B active
- Announced but never released. Superseded by Muse Spark.
- Positioned as a “teacher model” for other Llama models
Llama 3.x: Recommended for EU Enterprises
The Llama 3.x series is not subject to EU restrictions and remains the recommended choice for European enterprises:
Key Strengths
- Full Control: Model runs in your infrastructure
- No API Costs: Only hardware/cloud costs
- Customizable: Fine-tuning on your own data possible
- GDPR-Friendly: No data leaves your company
Hardware Requirements
| Model | VRAM | Recommended GPU |
|---|---|---|
| Llama 4 Scout | 80+ GB | H100 / A100 |
| Llama 4 Maverick | 400+ GB | Multi-H100 |
| Llama 3.3 70B | 40+ GB | A100 80GB |
| Llama 3.2 11B | 24 GB | RTX 4090 |
| Llama 3.2 3B | 8 GB | RTX 4070 |
| Llama 3.2 1B | 4 GB | Smartphone |
Integration with CompanyGPT
CompanyGPT supports Llama 3.x models and enables completely self-hosted operation without external dependencies.
Our Recommendation
For EU enterprises, Llama 3.3 70B is the best choice from the Llama family – proven, EU-compatible, and with a strong performance profile. For edge applications, the compact Llama 3.2 (1B/3B) models are ideal. If you’re looking for a powerful European open-source alternative, we recommend Mistral as a Llama 4 replacement for the DACH region.