GPT4All lets you run LLMs locally on consumer hardware. No GPU required, no internet needed, completely private. Desktop app + Python API.
What Is GPT4All?
GPT4All runs open-source LLMs on your CPU. Download models, chat locally, or use the Python bindings for programmatic access.
Features:
- Runs on CPU (4-16GB RAM)
- Desktop app (Mac, Windows, Linux)
- Python bindings
- 10+ bundled models
- LocalDocs: chat with your files
- Completely offline
Quick Start
pip install gpt4all
Python API
from gpt4all import GPT4All
model = GPT4All("Meta-Llama-3-8B-Instruct.Q4_0.gguf")
with model.chat_session():
response = model.generate("Explain Docker in 3 sentences")
print(response)
# Embeddings
model = GPT4All("all-MiniLM-L6-v2.gguf2.f16.gguf")
embeddings = model.embed("Hello world")
print(len(embeddings)) # 384 dimensions
Chat with Documents (LocalDocs)
from gpt4all import GPT4All
model = GPT4All("Meta-Llama-3-8B-Instruct.Q4_0.gguf")
# Point to your documents folder in the desktop app
# Ask questions about your files privately
Use Cases
- Private AI — data never leaves your machine
- Offline chatbot — works without internet
- Document Q and A — chat with local files
- Development — prototype AI apps for free
- Education — learn AI without API costs
GPT4All vs Alternatives
| Feature | GPT4All | Ollama | LM Studio |
|---|---|---|---|
| Desktop app | Yes | CLI | Yes |
| Python API | Yes | REST | No |
| LocalDocs | Yes | No | No |
| Min RAM | 4GB | 8GB | 8GB |
| Models | 10+ | 100+ | 100+ |
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