SmolLM
Family of small language models by Hugging Face for on-device use.
About
SmolLM by Hugging Face is a family of small, fully open language models released at 135M, 360M, and 1.7B parameters for on-device and edge use, with a focus on strong performance per parameter from carefully curated public training data. The team publishes the datasets and training recipe, and the 3B model competes with larger alternatives from other vendors. Released under the Apache 2.0 license.
Reviews (0)
Leave a Review
No reviews yet. Be the first to review!
Details
- Category
- Large Language Models (LLMs)
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Beginner (1/5)
- License
- Apache-2.0
- Added
- Apr 3, 2026
Related Tools
Lightweight open-weight LLM by Google available in 1B to 27B sizes.
Open-source code LLM family by IBM for enterprise code generation.
Open-weight LLM by Meta in 8B and 70B sizes with strong general capabilities.
High-performance open-weight MoE LLM with 671B total parameters.
Hybrid SSM-Transformer model by AI21 Labs combining Mamba with attention layers.
Open-weight code LLM trained on 2 trillion tokens of code and natural language.