How to Install OpenCode AI Free Model Locally — 2026 Guide

OpenCode AI is a powerful open-source coding assistant that brings intelligent code generation, explanation, and debugging directly to your machine — completely free and offline. Unlike GitHub Copilot or ChatGPT which require internet and recurring subscriptions, OpenCode runs locally, respects your privacy, and costs nothing.

In this guide, I'll walk you through every method to install and use OpenCode AI on Windows, Linux, Mac, and even Android via Termux.

What is OpenCode AI?

OpenCode AI refers to a family of open-source large language models specifically fine-tuned for code generation, understanding, and debugging. Built on architectures like DeepSeek Coder, Code Llama, and StarCoder, OpenCode models are trained on billions of lines of source code from GitHub and other repositories.

Key capabilities include:

• Code generation — write functions, classes, and entire programs from natural language descriptions
• Code explanation — explain complex code in plain English
• Bug fixing — identify and fix errors in your code
• Code translation — convert between programming languages (Python ↔ JavaScript ↔ C++)
• Documentation — auto-generate docstrings and comments

System Requirements

Method 1: Install via Continue.dev (VS Code Extension)

Continue is the most popular open-source AI code assistant for VS Code and JetBrains IDEs. It integrates directly with local models.

Step 1: Install Continue Extension

1. Open VS Code
2. Go to Extensions (Ctrl+Shift+X)
3. Search "Continue"
4. Install → Restart VS Code

Step 2: Configure OpenCode Model

Open Continue settings (gear icon) and add this config:

{
  "models": [{
    "title": "OpenCode 7B",
    "provider": "ollama",
    "model": "opencode:7b",
    "contextLength": 8192
  }]
}

Step 3: Download the Model

Open terminal and run:

ollama pull opencode:7b

That's it! Open Continue in VS Code (Ctrl+Shift+I) and start coding with AI assistance.

Method 2: Install via Ollama (CLI)

If you prefer the command line or want to use OpenCode in scripts:

# Install Ollama (if not installed)
curl -fsSL https://ollama.com/install.sh | sh

# Download and run OpenCode
ollama run opencode:7b

# Or use a lighter version
ollama run opencode:1.5b

Once running, you can ask coding questions:

>>> Write a Python function to merge two sorted lists
def merge_sorted_lists(list1, list2):
    result = []
    i = j = 0
    while i < len(list1) and j < len(list2):
        if list1[i] < list2[j]:
            result.append(list1[i])
            i += 1
        else:
            result.append(list2[j])
            j += 1
    result.extend(list1[i:])
    result.extend(list2[j:])
    return result

Method 3: Install via LM Studio (No Terminal)

For users who prefer a graphical interface:

1. Download LM Studio
2. In the search bar, type "opencode"
3. Select OpenCode 7B Q4_K_M.gguf
4. Download → Load model → Start chatting
5. Enable "Local API Server" for VS Code integration

Method 4: Install on Android via Termux

Yes — you can run OpenCode AI on your Android phone!

# Update packages
pkg update && pkg upgrade

# Install dependencies
pkg install python git cmake build-essential

# Clone llama.cpp
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp
mkdir build && cd build
cmake .. && make -j4

# Download OpenCode GGUF (1.5B — works on 4 GB RAM)
wget https://huggingface.co/opencode/opencode-1.5b-Q4_K_M.gguf

# Run it
./bin/main -m opencode-1.5b-Q4_K_M.gguf -p "Write a fibonacci function in Python" -n 256

OpenCode vs GitHub Copilot vs ChatGPT

Performance Benchmarks

Troubleshooting

Model not found in Ollama

Ensure the model name is correct. Try ollama search opencode to see available options.

Out of memory error

Use a smaller quantized version (Q2 instead of Q4) or switch to OpenCode 1.5B.

Slow code generation

Enable GPU acceleration in LM Studio or Ollama. On CPU-only, expect 3-10 tokens/second for 7B models.

Integration with VS Code not working

Make sure Ollama or LM Studio's API server is running on port 11434 (Ollama) or 1234 (LM Studio). Restart VS Code after setting up.

Conclusion

OpenCode AI brings professional-grade code assistance to everyone — no subscriptions, no data collection, no internet required. Whether you're a student learning to code, a professional developer, or a hobbyist, OpenCode gives you a powerful AI coding partner that respects your privacy.

Start with Method 1 (Continue + Ollama) for the best VS Code integration. The entire setup takes under 10 minutes and you'll have an AI coding assistant running 100% locally.