Ready for AI this school year?
Download the free PebbleGo AI Toolkit for practical resources that help districts implement AI safely, responsibly, and with confidence.
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AI Toolkit now supports training LoRAs for YuE2-3B, an amazing music model. Support would not be possible without the tokenizer and help from @sin_ceriously . Thank you! Also special thanks to @Machinedelusion. More in 🧵
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The CARE Framework helps districts implement AI safely by focusing on trusted content, teacher-led instruction, critical thinking, and ethics.
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Your district doesn't need more AI hype. It needs a plan.
Download the free PebbleGo AI Toolkit for practical guidance on implementing AI safely, supporting educators, and preparing K–5 students for an AI-powered future.
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Added LoRA training for Qwen 3.8 27B in AI Toolkit and spent the morning optimizing the captioner for it. It now captions at 70-80 tok/s with 1024 res image inputs and a decently long system prompt on a downclocked 5090 using less than 20GB of vram.
Added initial support to fine tune LLMs in AI Toolkit with a focus on Omni models. First one added is
Qwen2.5-Omni-7B and I trained a LoRA for it to better caption and transcribe music files. You can use these LoRAs in the dataset captioner along with default cloud ones.
How to Train a MiniMax H3 Ref2VA LoRA with AI Toolkit
In this tutorial, I train a vid2vid LoRA on @MiniMax_AI MiniMax H3 that makes everyone super jacked 💪
Links and more in 🧵