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title: I replaced Gemma 4 with a two-year-old coding LLM, and...
description: A non-developer shares their experience switching from Gemma 4 to Qwen 2.5 Coder 3B for local AI tasks. Despite not writing code, they found the coding-tuned...
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og:description: A non-developer shares their experience switching from Gemma 4 to Qwen 2.5 Coder 3B for local AI tasks. Despite not writing code, they found the coding-tuned...
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# I replaced Gemma 4 with a two-year-old coding LLM, and my local AI setup works better than ever

**[XDA Developers](https://daily.dev/sources/xda-developers)** · 5 min read · 0 upvotes · 0 comments

## Summary

A non-developer shares their experience switching from Gemma 4 to Qwen 2.5 Coder 3B for local AI tasks. Despite not writing code, they found the coding-tuned model significantly better for structured tasks like editing JSON config files, parsing log files, cleaning CSV data, and generating component code in local design tools. Qwen 2.5 Coder was trained on 5.5 trillion tokens with only 45% source code, making it capable of natural language too. The author keeps Gemma for open-ended conversation and general research, using Qwen Coder as a complementary tool for anything structured or format-sensitive.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.xda-developers.com/replaced-gemma-4-with-two-year-old-coding-llm-for-non-coding-work>

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---

Tags: [#local-ai](https://daily.dev/tags/local-ai), [#ollama](https://daily.dev/tags/ollama), [#gemma](https://daily.dev/tags/gemma)

[View this post on daily.dev](https://daily.dev/posts/i-replaced-gemma-4-with-a-two-year-old-coding-llm-and-my-local-ai-setup-works-better-than-ever-gjv50xvwp)

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