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---
title: Fine-Tuning Gemma-2B for Downstream Tasks with Keras
description: Learn how to fine-tune Gemma-2B with Keras using Low-Rank Adaptation (LoRA) for improved performance, reduced training time, and smaller model footprint.
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og:description: Learn how to fine-tune Gemma-2B with Keras using Low-Rank Adaptation (LoRA) for improved performance, reduced training time, and smaller model footprint.
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# Fine-Tuning Gemma-2B for Downstream Tasks with Keras

**[GoPenAI](https://daily.dev/sources/gopenai)** · 4 min read · 2 upvotes · 0 comments

## Summary

Learn how to fine-tune Gemma-2B with Keras using Low-Rank Adaptation (LoRA) for improved performance, reduced training time, and smaller model footprint.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blog.gopenai.com/fine-tuning-gemma-2b-for-downstream-tasks-with-keras-c3314e329be5>

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---

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

[View this post on daily.dev](https://daily.dev/posts/fine-tuning-gemma-2b-for-downstream-tasks-with-keras-38lgubdfm)

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