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title: I tested every tiny local LLM worth running, and only...
description: A hands-on comparison of sub-4B local LLMs that actually deliver practical value on modest hardware. Three models made the cut: Google's Gemma 4 E2B (warm...
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og:description: A hands-on comparison of sub-4B local LLMs that actually deliver practical value on modest hardware. Three models made the cut: Google's Gemma 4 E2B (warm...
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> ## Documentation Index
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# I tested every tiny local LLM worth running, and only three survived the cut

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

## Summary

A hands-on comparison of sub-4B local LLMs that actually deliver practical value on modest hardware. Three models made the cut: Google's Gemma 4 E2B (warm personality, great for phones and Chromebooks), Qwen 3.5 2B/4B (natively multimodal, 201 languages, sharper on reasoning and structured tasks), and Qwen 2.5 Coder 3B Instruct (older but uniquely useful for code-adjacent formats like YAML, JSON, and Docker configs even for non-coders). The key takeaway is that small models have genuinely caught up and no longer require high-end hardware to be useful.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.xda-developers.com/tested-every-tiny-local-llm-worth-running-only-these-survived-the-cut>

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---

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

[View this post on daily.dev](https://daily.dev/posts/i-tested-every-tiny-local-llm-worth-running-and-only-three-survived-the-cut-ldlh8vwq9)

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