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