SmolLM - AI Language Models Tool
Overview
SmolLM is a family of efficient, compact AI models optimized for on-device text and vision tasks. The code and model assets are hosted on a public GitHub repository: https://github.com/huggingface/smollm.
Key Features
- Efficient, compact model architectures for constrained hardware
- Optimized for on-device inference across text and vision tasks
- Available as a family of models spanning multiple sizes
- Repository provides code and model access on GitHub
Ideal Use Cases
- On-device natural language processing for mobile and edge
- On-device image understanding and lightweight vision inference
- Deployments requiring small model footprint and low latency
- Prototyping compact models for research and product evaluation
Getting Started
- Visit the GitHub repository at the provided URL
- Review README and model documentation
- Install required dependencies listed in the repository
- Select an appropriate model size for your device
- Run included example scripts or notebooks for inference
- Integrate chosen model into your application for on-device use
Pricing
Pricing not disclosed
Key Information
- Category: Language Models
- Type: AI Language Models Tool