GPT4All review

Q: How do I install GPT4All?

Run pip install gpt4all. The gpt4all package needs Python 3.8 or newer.

GPT4All is an open-source desktop app and Python client for running large language models locally on everyday desktops and laptops.

Updated Nov 1, 2026. Review written Oct 22, 2026 from the project's own sources; usage data refreshed every Monday.

TL;DR

GPT4All runs LLMs privately on desktops and laptops without API calls or GPUs. GPT4All is for developers and users who want local chat, including LocalDocs for chatting with their own files. GPT4All also provides a Python client built around llama.cpp implementations.

77.3kGitHub stars
+28new stars, week of Oct 25
11.9kdownloads a week, +11% vs 4-week avg
#42in Inference and training this week

GPT4All at a glance

Category: Inference and training
Maintained by: Nomic AI (organization, @nomic-ai on GitHub)
License: MIT
Language: C++, QML, Python
Repository: github.com/nomic-ai/gpt4all
Website: nomic.ai/gpt4all
PyPI package: gpt4all 2.8.2
Latest release: v3.10.0 on GitHub, Feb 25, 2025
First published: Mar 27, 2023

What GPT4All does

GPT4All runs large language models locally on Windows, macOS, and Linux without API calls or a GPU.
GPT4All includes LocalDocs, a feature for privately and locally chatting with your own documents.
GPT4All supports GPU inference on NVIDIA and AMD GPUs through Nomic Vulkan, plus a CUDA backend.
GPT4All can connect to remote model providers such as Groq, OpenAI, and Mistral from the Add Model page.
GPT4All supports DeepSeek-R1 distillations and shows their reasoning, which is wrapped in think tags.
GPT4All's Reasoner v1 includes a built-in JavaScript code interpreter tool for reasoning tasks.
GPT4All offers a Python client for loading GGUF models and generating text in chat sessions.

How it works

GPT4All is used either as a desktop chat application, installed with the Windows, Windows ARM, macOS, or Ubuntu installers, or as a Python package. The Python client wraps llama.cpp implementations and downloads GGUF models on first use. GPT4All integrates with LangChain, Weaviate, and OpenLIT. An earlier Docker-based API server offered an OpenAI-compatible HTTP endpoint.

How to install and start using GPT4All

With pip

pip install gpt4all

Requirements

Python 3.8 or newer for the gpt4all Python package.
Windows and Linux builds require an Intel Core i3 2nd Gen or AMD Bulldozer processor, or better.
The macOS build requires Monterey 12.6 or newer. Apple Silicon M-series processors give the best results.
The Windows ARM build supports Qualcomm Snapdragon and Microsoft SQ1/SQ2 processors.

First steps

Install the Python package with pip, or download the desktop installer for your operating system.
In Python, import the GPT4All class and create a model, for example "Meta-Llama-3-8B-Instruct.Q4_0.gguf".
GPT4All downloads and loads the model on first use. The example model is a 4.66GB download.
Open a chat session with model.chat_session() and call model.generate with a prompt and max_tokens.

Who GPT4All is for

Developers who want to chat with LLMs on a laptop without sending data to a cloud API.
Users who want to chat privately with their own local documents through LocalDocs.
Python developers who want to call local GGUF models from scripts.
Teams building LangChain or Weaviate pipelines that need a local model provider.

Limitations to know

The GPT4All Linux build is x86-64 only. ARM Linux is not supported.
On Windows ARM, GPT4All uses only the CPU. GPU and NPU acceleration are not available.
Windows ARM devices need the separate Windows ARM build. The standard Windows version will not work there.
Local models are large downloads. The example Llama 3 8B model is 4.66GB.

Is GPT4All growing? Usage data

In the week of Oct 25–31, 2026, GPT4All ranked #353 on the Devtoolwatch Board and #42 in Inference and training, with a momentum score of 21 out of 100. Its main package had 11.9k downloads that week, +11% against its own 4-week average.

New GitHub stars per week for the last 12 weeks, from GitHub's stargazer history (today's stargazers by the week they starred).

Show the weekly numbers

New GitHub stars per week for GPT4All
Week of	New stars
Aug 9, 2026	35
Aug 16, 2026	25
Aug 23, 2026	28
Aug 30, 2026	23
Sep 6, 2026	46
Sep 13, 2026	29
Sep 20, 2026	29
Sep 27, 2026	35
Oct 4, 2026	23
Oct 11, 2026	26
Oct 18, 2026	38
Oct 25, 2026	28

On Hacker News

Gpt4all: A chatbot trained on ~800k GPT-3.5-Turbo Generations based on LLaMa, 593 points and 301 comments (Mar 28, 2023)
Mapping Wikipedia with BERT and UMAP, 13 points and 2 comments (Oct 4, 2022)
The Release of GPT4All 3.0: The Open-Source Local LLM Desktop App, 11 points and 1 comments (Jul 2, 2024)
Llama 3.1 web search integrated into GPT4All Beta, 6 points and 1 comments (Jul 25, 2024)
Interactive visualization of 20M biomedical articles, 5 points and 0 comments (Apr 18, 2023)

The Board ranks tools by four signals each week: new stars, new stars for the repo's size, added downloads and download growth beyond the market. How the ranking works.

GPT4All alternatives

Other LLM inference and training tools on the Board in the week of Oct 25–31, 2026, by momentum:

Inference and training ranked by momentum, the week of Oct 25–31, 2026
Rank	Tool	Stars	Downloads/wk
#1	dsh-our-free-modeldsh-our-free-model is a dsh plugin that provides DeepSeek V4.1 Flash, Kimi K3 and other models without login, sign-up or API key.	54.3k	–
#2	magpiemagpie is a local gateway and app that lets coding agents like Claude Code, Codex and Gemini CLI use any provider's model.	26.9k	–
#3	StrataStrata is a local inference engine and app that runs large open models like Qwen3.8-Flash-Next on consumer hardware with…	37.1k	–
#4	edge0edge0 is an open-source streaming inference framework that runs large sparse mixture-of-experts models on consumer hardware by streaming…	8.9k	–
#5	OmniRouteOmniRoute is an open-source AI gateway that routes requests across many model providers through one OpenAI-compatible endpoint, with…	83.2k	106k
#6	CLIProxyAPICLIProxyAPI is a Go proxy server that exposes CLI coding accounts like Codex, Claude Code and Gemini CLI through OpenAI, Gemini and…	57.1k	–

All LLM inference and training tools, ranked

Recent GPT4All releases

v3.10.0, Feb 25, 2025
v3.9.0, Feb 5, 2025
v3.8.0, Jan 31, 2025
v3.7.0, Jan 23, 2025
v3.6.1, Dec 20, 2024

GPT4All FAQ

Is GPT4All free and open source?

Yes. GPT4All's source code is on GitHub (nomic-ai/gpt4all) under the MIT license, so you can use it for free. Its website also links to a pricing page (https://nomic.ai/pricing) for any paid plans.

How do I install GPT4All?

Run pip install gpt4all. The gpt4all package needs Python 3.8 or newer.

Is GPT4All still maintained?

Activity has slowed: the nomic-ai/gpt4all repository was last updated on May 27, 2025, and the latest release, v3.10.0 on GitHub, came out on Feb 25, 2025.

How popular is GPT4All?

GPT4All has 77.3k GitHub stars as of Nov 1, 2026. It gained 28 new stars in the week of Oct 25–31, 2026, against a 12-week average of 30 a week. Its main package had 11.9k downloads that week, +11% against its own 4-week average. That made it #42 among LLM inference and training tools on the Devtoolwatch Board.

GPT4All vs Ollama: how do they compare?

GPT4All and Ollama are both tracked by Devtoolwatch as LLM inference and training tools. GPT4All has 77.3k GitHub stars and Ollama has 185.5k. In the week of Oct 25–31, 2026, GPT4All's main package had 11.9k downloads and Ollama's had 4M. Ollama is a tool for running and building with open AI models locally or in the cloud on macOS, Windows, and Linux. Ollama review.

GPT4All vs AnythingLLM: how do they compare?

GPT4All and AnythingLLM are both tracked by Devtoolwatch as LLM inference and training tools. GPT4All has 77.3k GitHub stars and AnythingLLM has 67.8k. AnythingLLM is a self-hostable, local-first AI app for chatting with your documents, running AI agents, and connecting local or cloud LLMs. AnythingLLM review.

What are the best alternatives to GPT4All?

Other LLM inference and training tools on the Devtoolwatch Board in the week of Oct 25–31, 2026, by momentum: dsh-our-free-model (#1), magpie (#2), Strata (#3), edge0 (#4), OmniRoute (#5). The alternatives table above has their numbers.

Does GPT4All work offline?

Yes. GPT4All runs models locally on your device, with no API calls required. After you download a model, inference runs on your own machine.

Is GPT4All private?

GPT4All runs models on your own device. The homepage says no cloud is required and no data leaves your machine when you use local models. Remote providers such as OpenAI are optional add-ons.

How do I use GPT4All in Python?

Install the gpt4all package and create a model with GPT4All("Meta-Llama-3-8B-Instruct.Q4_0.gguf"). Then call model.generate inside model.chat_session(). The model downloads automatically on first use.

How do I chat with my documents in GPT4All?

GPT4All includes LocalDocs, a feature for privately and locally chatting with your own data. You add a collection of files, such as PDFs, to LocalDocs in the desktop app.

Does GPT4All have an API server?

GPT4All launched a Docker-based API server in June 2023. It served local LLMs from an OpenAI-compatible HTTP endpoint.

Does GPT4All need a GPU?

No. GPT4All runs on everyday CPUs. It can also use NVIDIA and AMD GPUs through Vulkan, and CUDA GPUs with compute capability 5.0 or newer.

Sources

GPT4All README badge

Maintainers can show the tool's weekly Board rank in their README:

[![Devtoolwatch](https://index.devtoolwatch.com/badge/nomic-ai-gpt4all.svg)](https://index.devtoolwatch.com/tools/nomic-ai-gpt4all/)

How this page is made: Devtoolwatch writes each review from the project's README, releases, package metadata and website, with an AI model, then checks every claim against the source it cites and drops what the sources don't support. The numbers come from Devtoolwatch's daily GitHub snapshots, GitHub's stargazer history, and the npm and PyPI download APIs. Spotted an error? Email [email protected].