Yesterday I shared this post: "Building a small language model has never been this easy, introducing IdeaWeaver SLM Builder" 🚀
🔗 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 🙏 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 🎉
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 👇
1️⃣ Train your model in the UI (it's a real training run, not a demo)
2️⃣ Once it's done, a "Push to Hugging Face" box appears
3️⃣ Enter your Hugging Face username, repo name, and token
4️⃣ Choose public or private
5️⃣ Click the button, done ✅
Behind the scenes, it uploads everything you need:
📦 The trained model weights
⚙️ The architecture config
🔤 The tokenizer
📝 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. 🔒
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. 🌍
Try it out and let me know what you think; feedback like yesterday's is what's pushing this forward 🙌
🔗 GitHub: https://github.com/ideaweaver-ai/ideaweaver-slm-builder
🔗 Try it on Google Colab:
Google Colab
Edit descriptioncolab.research.google.com
🎓 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:
👉 https://ideaweaver.ai/#courses
➡️ 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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