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description: A developer fine-tuned Google's Gemma 3 12B model using 16-bit LoRA via Unsloth to create NeuroBait, an ADHD-focused AI assistant that replaces overwhelming...
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# NeuroBait: I fine-tuned a model to spark dopamine for ADHD brain

**[Hugging Face](https://daily.dev/sources/huggingface)** · 4 min read · 0 upvotes · 0 comments

## Summary

A developer fine-tuned Google's Gemma 3 12B model using 16-bit LoRA via Unsloth to create NeuroBait, an ADHD-focused AI assistant that replaces overwhelming to-do lists with short, warm, dopamine-sparking nudges. Trained on a hand-curated synthetic dataset reflecting real ADHD friction, the fine-tuned model drops clinical structure and speaks in flowing prose, giving users one tiny actionable step. The model is deployed on Hugging Face Spaces using ZeroGPU with Gradio, bitsandbytes 4-bit quantization, and a LoRA adapter applied at runtime. Future plans include open weights, bilingual support (Indonesian and English), and community-driven development.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://huggingface.co/blog/build-small-hackathon/neurobait-adhd>

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---

Tags: [#deep-learning](https://daily.dev/tags/deep-learning), [#gemma](https://daily.dev/tags/gemma), [#lora](https://daily.dev/tags/lora)

[View this post on daily.dev](https://daily.dev/posts/neurobait-i-fine-tuned-a-model-to-spark-dopamine-for-adhd-brain-iuav6ot8u)

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