awesome-smol
github.com/afondiel/awesome-smol ↗A curated list of small foundation models (SFMs) designed to run locally on Edge devices.
4
GitHub Stars
46
Curated Resources
6
Categories
3 hours ago
Last Refreshed
Pretrained Models HubOther Insightful ListsTools and FrameworksAI Frontier solution at the EdgeAI News & AnnouncementsResources
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me blogs resources from awesome-smol"
Installation instructions →What's inside
Resources
- 7 Steps to Running a Small Language Model on a Local CPUBlogs
- AI on the edge: latest insights and trends @QualcommBlogs
- Deploying ML Models on The Edge - @MicrosoftBlogs
@Microsoft
- Edge-AI Books Collection - @cs-booksBooks
@cs-books
- Edge-AI core concepts for all levelsPractical Guides
- EDGE IMPULSE: AN MLOPS PLATFORM FOR TINY MACHINE LEARNINGResearch Papers
Other Insightful Lists
- awesome-tensorflow-lite - @margaretmz
@margaretmz
- edge-ai - @crespum
@crespum
- Edge AI Model Zoo - @afondiel
@afondiel
- Smol Vision - @merveenoyan
@merveenoyan
AI Frontier solution at the Edge
Tools and Frameworks
- CoreML
- ExecuTorch
- LiteRT - formerly TensorFlow Lite
formerly TensorFlow Lite
- ONNX Runtime
- OpenVINO
Pretrained Models Hub
AI News & Announcements
- Introducing Phi-3: Redefining what’s possible with SLMs
- Meta - Llama 3.2: Revolutionizing edge AI and vision with open, customizable models
Llama 3.2: Revolutionizing edge AI and vision with open, customizable models
- SmolLM - blazingly fast and remarkably powerful
blazingly fast and remarkably powerful
- SmolVLM - small yet mighty Vision Language Model
small yet mighty Vision Language Model
Showing a sample of 46 resources. View the full list on GitHub →