What is SmolLM2?

SmolLM2 features a sophisticated range of compact language models designed for effective on-device operations. This assortment includes models with various parameter counts, such as a substantial 1.7 billion, alongside more efficient iterations at 360 million and 135 million parameters, which guarantees optimal functionality on devices with limited resources. The models are particularly adept at text generation and have been fine-tuned for scenarios that demand quick responses and low latency, ensuring they deliver exceptional results in diverse applications, including content creation, programming assistance, and understanding natural language. The adaptability of SmolLM2 makes it a prime choice for developers who wish to embed powerful AI functionalities into mobile devices, edge computing platforms, and other environments where resource availability is restricted. Its thoughtful design exemplifies a dedication to achieving a balance between high performance and user accessibility, thus broadening the reach of advanced AI technologies. Furthermore, the ongoing development of such models signals a promising future for AI integration in everyday technology.

Pricing

Price Starts At:
Free
Price Overview:
Open source
Free Version:
Free Version available.

Screenshots and Video

SmolLM2 Screenshot 1

Company Facts

Company Name:
Hugging Face
Date Founded:
2016
Company Location:
United States
Company Website:
huggingface.co/collections/HuggingFaceTB/smollm2-6723884218bcda64b34d7db9

Product Details

Deployment
Windows
Mac
Linux
iPhone
iPad
Android
On-Prem
Training Options
Documentation Hub

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

SmolLM2 Categories and Features

More SmolLM2 Categories