StableLM is a family of efficient language models from Stability AI designed for practical deployment. The models prioritize real-world utility and efficiency over pure parameter count.
- StableLM 1.6B: Trained on 2 trillion tokens
- StableLM 3B: Mid-size variant
- StableLM 7B: Larger variant with enhanced capabilities
- Efficient transformer architecture
- Optimized for inference speed
- Designed for deployment on modest hardware
The 1.6B model beats other sub-2B options despite its compact size, demonstrating efficient training and architecture design.
- Efficiency: Optimized for fast inference
- Practical Focus: Built for developers who need working code
- Extensive Training: 2 trillion tokens for the 1.6B model
- Commercial Use: Available for commercial applications
- Easy Deployment: Runs on consumer hardware
- Rapid prototyping
- Edge deployment
- Resource-constrained environments
- Local development
- Cost-effective production deployment
Trained on diverse, high-quality data with emphasis on code and technical content.
Available under permissive open-source license.
Free and open-source.