As AI consultants based in Rosenheim, Germany, we recommend Stability AI StableLM for enterprises looking for compact open-source models with good multilingual support. StableLM offers solid performance with minimal hardware requirements.
From the Stable Diffusion Creator
Stability AI is best known for Stable Diffusion - the most popular open-source image generation model. With StableLM, Stability AI now also offers language models.
Why StableLM for Enterprises?
- Open Source: Community license (commercial use under $1M revenue)
- Compact: 1.6B to 12B parameters
- Multilingual: 7 European languages
- Self-Hosting: Full data control
- Edge-Ready: Runs on modest hardware
Key Strengths
True Multilingual Support
StableLM 2 was trained multilingually from the ground up:
- English, German, Spanish, French
- Italian, Portuguese, Dutch
- Balanced quality across all languages
- No translation detours
Compact Size
StableLM is one of the smallest usable LLMs:
| Model | Parameters | RAM/VRAM | Hardware |
|---|---|---|---|
| StableLM 2 12B | 12B | 8-16 GB | RTX 3060 |
| StableLM 2 1.6B | 1.6B | 2-4 GB | Laptop |
| Stable Code 3B | 3B | 4-6 GB | RTX 3050 |
Code Specialization
Stable Code is optimized for developers:
- Fill-in-the-Middle (FIM)
- Code completion
- Supports many programming languages
- IDE integration possible
Comparison to Other SLMs
| Feature | StableLM 2 | Phi-3 mini | Gemma 2 |
|---|---|---|---|
| Parameters | 12B | 3.8B | 9B |
| Languages | 7 | 2 | 2 |
| License | Community | MIT | Apache 2.0 |
| Code Focus | Yes | Yes | No |
Local Deployment
StableLM can be easily run locally:
# With Ollama
ollama run stablelm2
# With LM Studio
# GUI-based deploymentIntegration with CompanyGPT
Stability AI StableLM can be integrated in CompanyGPT as a self-hosted option - ideal for multilingual applications with limited resources.
Our Recommendation
StableLM 2 12B is a solid choice for multilingual edge deployments and enterprises looking for a compact model with good European language support.
For more demanding applications, we recommend Microsoft Phi (stronger in reasoning) or Meta Llama (larger model range).