GPT4ALL
An ecosystem of open-source chatbots trained on a massive collections of clean assistant data including code, stories and dialogue.
Cost / License
- Free
- Open Source
Application types
Platforms
- Mac
- Windows
- Linux
- Flathub
Features
Properties
- Privacy focused
- Distraction-free
- Lightweight
Features
- AI Chatbot
- AI Writing
- Ad-free
- No Coding Required
- Dark Mode
- Works Offline
- No registration required
- No Tracking
- Text to Image Generation
- Marketing Automation
- Chat with documents
- Offline
- AI-Powered
Tags
- RAG
- Embedding
- selfhosted
- GPT
- Productivity Tool
- self-hosted-apps
GPT4ALL News & Activities
Recent News
- Maoholguin published news article about GPT4ALL
Nomic releases GPT4All 3.0, its open-source local LLM desktop app with new redesign & moreNomic AI has released version 3.0 of GPT4ALL, celebrating the first anniversary of their open-sourc...
Recent activities
- andrzila liked GPT4ALL
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What is GPT4ALL?
A free-to-use, locally running, privacy-aware chatbot. No GPU or internet required.
GTP4All is an ecosystem to train and deploy powerful and customized large language models that run locally on consumer grade CPUs. The goal is simple—be the best instruction tuned assistant-style language model that any person or enterprise can freely use, distribute and build on.
Features: • Fast CPU and GPU based inference using ggml for open source LLM's • The UI is made to look and feel like you've come to expect from a chatty gpt • Check for updates so you can always stay fresh with latest models • Easy to install with precompiled binaries available for all three major desktop platforms • Multi-model - Ability to load more than one model and switch between them • Supports llama.cpp style models • Model downloader in GUI featuring many popular open source models • Settings dialog to change temp, top_p, top_k, threads, etc • Copy your conversation to clipboard
Two different licensing options to choose from:
- Community Edition (MIT License)
- Enterprise Edition (Commercial License)
Source about licensing at https://www.nomic.ai/gpt4all/legal/terms-of-service
GPT4ALL Videos
GPT4ALL information
Developed by
Nomic AI Licensing
Open Source (MIT) and Free product.Written in
Rating
Average rating of 4Alternatives
174 alternatives listedSupported Languages
- English
AlternativeTo Categories
AI Tools & Services, Office & Productivity, Social & CommunicationsGitHub repository
- 76,982 Stars
- 8,303 Forks
- 746 Open Issues
- Updated
Comments and Reviews
It's free and open-source, with a simple interface, ease of use, and built-in support for RAG and embedding—all of which are major advantages. This allows you to load your documents and use 'chat with documents/files' functionality without needing any additional setup or configuration.
On the downside, customization options are very limited. Unlike LM Studio, you can't adjust model parameters before loading; it's more of a 'download and run' approach. Additionally, if your system doesn't have enough resources to support the loaded model, the program often crashes.
Pros: Great concept, clean UI, and easy to download models. Love the privacy of having your own AI locally.
Cons: However, all the models are very slow for me, and don't give me very good answers at all for just about anything I ask them. Unusable for me.
If you have at least 16 GB of ram and an up-to-date CPU, you can run 13B models without a graphics card. New/updated models appear continuously, so anybody can find a precious one. You can even download a favourite from other source and copy it to the models folder.
I see, I suppose that is a game-changer. I'll stick to online AI for now as that fits my needs better, but I appreciate the info.
Simple and maybe the easiest way to deploy llm.
Another alternative (new): LM Studio
Good for local running, but outdated as Cloud-AI frontend. For example, they have GPT-4 model set-up in store (which is not more avaiable for a long time), but don't have Openrouter.
I love the UI and simplicity. But you cant add your own models only the repository's they have listed.
Running locally, wide variety of models to choose, lightweight, easy to install. You can support the training or fine tuning of new models by sending your conversations to the pool. It can also scan local documents placed in a dedicated folder.