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Cover image for ๐Ÿ“Œ Train it. Push it. Share it.IdeaWeaver SLM Builder now pushes straight to Huggingย Face๐Ÿ“Œ
Prashant Lakhera
Prashant Lakhera

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๐Ÿ“Œ Train it. Push it. Share it.IdeaWeaver SLM Builder now pushes straight to Huggingย Face๐Ÿ“Œ

Yesterday I shared this post: "Building a small language model has never been this easy, introducing IdeaWeaver SLM Builder" ๐Ÿš€
๐Ÿ”— https://www.linkedin.com/posts/prashant-lakhera-696119b_genai-llm-opensource-share-7481191583040802817-oqyJ/
Thank you to everyone who tried it out and shared feedback ๐Ÿ™ It really helped shape what came next. My goal is simple: make building a small language model as easy as possible for anyone, not just researchers with big GPU clusters.
Today I'm excited to share the next step ๐ŸŽ‰
You can now push the models you train straight to Hugging Face, right from the same simple UI. No extra scripts, no manual uploading, no juggling files.
Here's how it works ๐Ÿ‘‡
1๏ธโƒฃ Train your model in the UI (it's a real training run, not a demo)
2๏ธโƒฃ Once it's done, a "Push to Hugging Face" box appears
3๏ธโƒฃ Enter your Hugging Face username, repo name, and token
4๏ธโƒฃ Choose public or private
5๏ธโƒฃ Click the button, done โœ…
Behind the scenes, it uploads everything you need:
๐Ÿ“ฆ The trained model weights
โš™๏ธ The architecture config
๐Ÿ”ค The tokenizer
๐Ÿ“ An auto-generated model card explaining how to load it
And one thing I care a lot about: your Hugging Face token is never saved anywhere. It's used only for that one upload, and then it's gone. ๐Ÿ”’
Small language models shouldn't be locked away on your laptop. Now, in just a few clicks, your model can be out in the world on Hugging Face for others to use, learn from, or build on. ๐ŸŒ
Try it out and let me know what you think; feedback like yesterday's is what's pushing this forward ๐Ÿ™Œ
๐Ÿ”— GitHub: https://github.com/ideaweaver-ai/ideaweaver-slm-builder
๐Ÿ”— Try it on Google Colab:
Google Colab
Edit descriptioncolab.research.google.com
๐ŸŽ“ Want Live Instructor-Led Training?
If you'd like hands-on, instructor-led sessions where you can ask questions and get your doubts resolved live, check out our courses:
๐Ÿ‘‰ https://ideaweaver.ai/#courses
โžก๏ธ If you're looking to try an AI agent built specifically for DevOps, check out DevOps Open Agent:
https://github.com/ideaweaver-ai/devops-open-agent

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