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Register tiny Gemma presets #2360
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Summary of Changes
Hello @sachinprasadhs, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request focuses on expanding the available Gemma model presets within the Keras Hub. It specifically registers two new "tiny" versions of the Gemma 3 model: a base 270-million parameter model and an instruction-tuned 270-million parameter model. These additions aim to provide more efficient options for AI development, particularly for scenarios requiring smaller models or task-specific fine-tuning.
Highlights
- Registration of gemma3_270m preset: This change introduces a new preset for the base Gemma model with 270 million parameters, designed for hyper-efficient AI and task-specific fine-tuning.
- Registration of gemma3_instruct_270m preset: This change adds a new preset for the instruction-tuned Gemma model, also with 270 million parameters, optimized for efficient AI applications and fine-tuning.
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Code Review
This pull request adds two new presets for tiny Gemma models: gemma3_270m
and gemma3_instruct_270m
. The changes are straightforward, but I've noticed that the descriptions for the new presets are inconsistent with the existing ones. I've left a comment suggesting to update them to match the established format for better clarity and consistency across all presets.
* add tiny Gemma * modify description * update description
Description of the change
Reference
Colab Notebook
Checklist