If you’re wondering how to install ChatGPT locally, this guide will walk you through the easiest and most powerful solutions. Running ChatGPT on your computer allows you to use AI offline, protect your privacy, and reduce costs.
This tutorial covers LM Studio, Ollama, system requirements, local API setup, and recommended models.
1. What Is Local ChatGPT?
Local ChatGPT means running an AI model directly on your PC instead of using cloud services. This ensures:
- ✔ 100% privacy
- ✔ No monthly subscription
- ✔ Full offline usage
- ✔ Customizable AI models
Popular local models include:
- Llama 3
- Mistral
- Phi-3
- Gemma
- Qwen
2. System Requirements for Running ChatGPT Locally
To follow this guide and understand how to install ChatGPT locally, ensure your computer meets these specs:
Recommended:
- 16GB RAM
- NVIDIA GPU 6GB VRAM+
- Intel i5 / Ryzen 5 or better
- SSD with 20GB free space
CPU-only
- Works fine but slower.
GPU
- Best speed and smooth performance.
3. Best Ways to Install ChatGPT Locally
There are two top methods:
- LM Studio (best for beginners)
- Ollama (best for developers)
Both allow you to run LLMs offline and integrate them into apps.
🥇 Method 1: Install ChatGPT Locally with LM Studio
To learn how to install ChatGPT locally, LM Studio is the easiest approach.
Step 1 — Download LM Studio
Go to the official LM Studio website → download Windows/Mac/Linux version.
Step 2 — Install normally
Launch the application.
Step 3 — Download a model
Search for models such as:
- Llama 3 8B
- Mistral 7B
- Phi-3 Mini
Choose the .gguf version → click Download.
Step 4 — Run ChatGPT locally
Go to Local Models → Launch.
Start chatting offline instantly.
Step 5 — Use the API
LM Studio provides an API at:
http://localhost:1234/v1
You can integrate it into your website or apps.
🥈 Method 2: Install ChatGPT Locally with Ollama
If you’re a developer searching “how to install ChatGPT locally,” this is the most flexible option.
Step 1 — Install Ollama
Download and install from the official site.
Step 2 — Run a model
Example:
ollama run llama3
Download more:
ollama pull mistral
ollama pull phi3
Step 3 — Chat in the terminal
ollama run llama3
Step 4 — Use the REST API
http://localhost:11434/api/generate
4. Best Local AI Models to Use (2025)
| Model | Size | Best Use Case |
|---|---|---|
| Llama 3 8B | 4–5GB | General use / coding |
| Mistral 7B | 4GB | Reasoning & logic |
| Phi-3 Mini | 2GB | Weak laptops |
| Gemma 2 9B | 5GB | Human-like replies |
| Qwen 2 7B | 4GB | Writing & translation |
5. Pros & Cons of Running ChatGPT Locally
⭐ Pros
- No data leaves your computer
- Free to use
- Works offline
- Customizable models
❗ Cons
- Requires strong hardware
- Not as powerful as GPT-4/5
- Speed depends on your CPU/GPU
6. Conclusion: Should You Install ChatGPT Locally?
If you value:
- privacy
- performance
- offline AI
- zero subscription fees
…then running ChatGPT locally is a great choice.
For beginners → LM Studio
For developers → Ollama
Leave a Reply