---
title: "The 6 Best LLM Tools To Run Models Locally"
url: https://daily.dev/posts/the-6-best-llm-tools-to-run-models-locally-2lnfsznde
source_url: https://getstream.io/blog/best-local-llm-tools/
type: article
source: "Community Picks"
published: 2024-12-02T15:00:02.629Z
updated: 2024-12-08T21:20:32.426Z
tags: ["ai", "machine-learning", "open-source", "privacy"]
reading_time: 15
upvotes: 68
comments: 4
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# The 6 Best LLM Tools To Run Models Locally

**[Community Picks](https://daily.dev/sources/community)** · 15 min read · 68 upvotes · 4 comments

## Summary

Running large language models (LLMs) locally offers enhanced data privacy, customization, and cost savings. This post covers the top six tools (LM Studio, Jan, Llamafile, GPT4ALL, Ollama, and LLaMa.cpp) that allow developers to run LLMs offline on Mac, Windows, and Linux platforms, providing features like advanced model customization, offline support, and integration with popular AI providers. Local LLM tools are useful in various scenarios, including telehealth and no-internet locations, ensuring data does not leave the local device.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://getstream.io/blog/best-local-llm-tools/>

## Community discussion

Top comments from developers on daily.dev.

**@skeptiq** · 0 upvotes

> LM Studio 👍

**@anmolbaranwal** · 0 upvotes

> I've covered most of these in my articles :)
>
> I prefer Ollama with continue!

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---

Tags: [#ai](https://daily.dev/tags/ai), [#machine-learning](https://daily.dev/tags/machine-learning), [#open-source](https://daily.dev/tags/open-source), [#privacy](https://daily.dev/tags/privacy)

[View this post on daily.dev](https://daily.dev/posts/the-6-best-llm-tools-to-run-models-locally-2lnfsznde)