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description: A developer shares their local LLM setup inside VS Code using two lightweight models: Qwen 3.5 9B for chat and agentic workflows, and Granite 4 3B for fast...
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> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Usages of local LLM

**[MD Abdur Rahman Nur Jamil](https://daily.dev/sources/j478satqhv7i2qjbfcmqh)** · [@mabdurrahman](https://daily.dev/mabdurrahman) · 1 min read · 4 upvotes · 3 comments

## Summary

A developer shares their local LLM setup inside VS Code using two lightweight models: Qwen 3.5 9B for chat and agentic workflows, and Granite 4 3B for fast inline autocomplete. The entire setup runs offline on personal hardware, offering zero latency and full privacy. The author recommends it for anyone with a capable GPU.

## Content

I set up a local setup inside VS Code using two lean models, and the workflow is remarkably smooth:

Qwen 3.5 9B handles the main chat and agentic workflows.
Granite 4 3B takes care of fast, inline autocomplete suggestions.

Everything runs on my own hardware, completely offline, with zero latency and full privacy. The agentic era of coding feels entirely different when you have local models assisting you every step of the way.

If you have a decent GPU lying around, it is well worth setting up.

## Community discussion

Top comments from developers on daily.dev.

**@deepeshhaldankar97** · 2 upvotes

> @mabdurrahman can u tell me more about your setup how u did it ..?
> what is Ur hardware specs and all..

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---

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

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