Run Claude Code for Free Forever with Ollama + Gemma 4
Tired of hitting Claude's token limits and watching your credits disappear? What if you could run Claude Code completely free - with no internet required, no rate limits, and total privacy? This guide shows how to replace Claude's expensive engine with Google's powerful Gemma 4 model running locally on your computer.
Why Run Claude Code Locally?
If you've used Claude Code with a subscription, you know the frustration: you're deep in a complex project when suddenly you hit the token limit and your credits vanish. The average Claude Code user spends $500-$1,000 monthly on tokens - often for tasks that don't require Claude's full power.
Running Claude Code locally with Gemma 4 solves this by eliminating token costs completely. But the benefits go beyond just cost savings:
5 key advantages of local Claude Code: Zero token costs, works without internet, 100% private data processing, no rate limits, and a massive 256K context window (larger than Claude's 200K).
This setup is perfect for businesses handling sensitive data, developers working offline, or anyone tired of Claude's credit system. At 2:15 in the video, the creator demonstrates how the local version keeps working even when completely disconnected from the internet - ideal for flights or remote work.
Gemma 4 vs Claude: Key Differences
Gemma 4 is Google's top open-source model, ranking in the top three on the Arena AI leaderboard. While not identical to Claude, it delivers comparable performance for most tasks:
- 85% of Claude Opus's capability - noticeable only in extremely complex tasks
- 256K context window (vs Claude's 200K)
- Multimodal - understands images like Claude (shown at 5:42 in the video)
- Apache 2.0 license - free for commercial use with no restrictions
The video demonstrates at 4:30 how Gemma 4 handles a basic HTML generation task nearly identically to Claude, just slightly slower on lower-end hardware. For most business applications - document processing, code generation, content creation - the difference is negligible.
Setup Requirements
You'll need just three things to get started:
- A computer running MacOS, Windows, or Linux
- At least 8GB RAM (16GB recommended for larger models)
- The free Ollama software (download from ollama.com)
At 3:15 in the tutorial, the creator shows how Ollama automatically detects your system specs and recommends the optimal Gemma 4 model size. Even modest laptops can run the smaller 4B parameter model, while more powerful systems can handle the full 12B version.
Pro Tip: If you already use Claude Code, you'll need an active API account (just $5 credit) to connect the local version, though it won't actually consume any credits.
Step-by-Step Installation
The entire setup process takes under 5 minutes:
Step 1: Install Ollama
Download Ollama from ollama.com for your operating system. The video at 3:45 shows the simple drag-and-drop installation process on Mac - Windows is equally straightforward.
Step 2: Select Your Gemma 4 Model
Open VS Code with Claude Code installed, then ask Claude to recommend the right Gemma 4 model for your hardware (demonstrated at 4:10). It will analyze your system specs and suggest the optimal version.
Step 3: Run the Installation Command
Copy the installation command Claude provides and run it in your terminal. At 4:35, the video shows how the model downloads automatically - no manual configuration needed.
Step 4: Verify in Ollama App
Open the Ollama app to confirm your Gemma 4 model installed correctly. You'll see it listed alongside other available models.
In Summary: Download Ollama → Ask Claude to recommend model → Run install command → Verify in Ollama app. The entire process is automated and requires no technical expertise.
Connecting to Claude Code
With Gemma 4 installed, connecting it to Claude Code takes just one terminal command:
ollama launch Claude When prompted (shown at 5:15 in the video), select your installed Gemma 4 model from the list. This tells Claude Code to use your local AI engine instead of Anthropic's servers.
The video demonstrates at 5:30 how all Claude Code features continue working normally - including file uploads and image analysis. The only difference is the processing happens locally, with no data sent to the cloud.
Performance Optimization Tips
For the best experience with local Claude Code:
- Choose the largest model your hardware supports - The 12B parameter version performs noticeably better than 4B
- Close other memory-intensive apps - Give Gemma 4 as much RAM as possible
- Use for appropriate tasks - Save extremely complex problems for cloud Claude
- Consider a GPU upgrade - Dramatically improves speed if your system supports it
At 6:20 in the video, the creator notes that while the local version works for most tasks, he still uses cloud Claude for particularly complex problems - giving you the best of both worlds.
Best Use Cases
Local Claude Code with Gemma 4 shines for:
- Sensitive data processing - Legal, medical, or proprietary business information
- Offline work - Flights, remote locations, or unreliable internet
- High-volume tasks - No worry about token costs adding up
- Experimentation - Try wild ideas without burning credits
- Education - Perfect for students learning AI development
The video shows at 7:00 how this setup is particularly valuable for businesses that previously avoided Claude due to data privacy concerns. Now they get all the functionality with none of the risk.
Watch the Full Tutorial
See the complete setup process from start to finish in the video tutorial below. At 4:10, you'll see how Claude automatically recommends the perfect Gemma 4 model for your specific hardware.
Key Takeaways
Running Claude Code locally with Gemma 4 gives you most of Claude's functionality without the costs or limitations. While not quite as powerful as Opus for extremely complex tasks, it handles 80% of use cases perfectly while being completely free, private, and available offline.
In summary: Install Ollama → Download Gemma 4 → Connect to Claude Code → Enjoy free, private AI processing. Use cloud Claude only when you truly need its maximum power.
Frequently Asked Questions
Common questions about this topic
The three biggest benefits are cost savings (completely free with no token limits), privacy (all processing happens on your device), and offline availability (works without internet).
You also avoid Claude's rate limits and get a massive 256K context window with Gemma 4 - larger than Claude's 200K window. This setup is perfect for businesses handling sensitive data or developers working in offline environments.
- Zero costs - No more token fees or subscription charges
- Total privacy - Your data never leaves your computer
- Works anywhere - No internet connection required
Gemma 4 has about 85% of Claude Opus's capability according to benchmark testing. For most everyday tasks, the difference isn't noticeable.
The main performance gap appears in extremely complex, multi-step reasoning tasks where Opus still leads. However, Gemma 4's 256K context window is actually larger than Claude's 200K, giving it an advantage with long documents or conversations.
- 85% of Opus's capability for most tasks
- Larger 256K context window
- Noticeable difference only in highly complex reasoning
You can run smaller Gemma 4 models (like 4B) on most modern laptops. For the full 12B model, you'll need at least 16GB RAM and a recent processor.
The setup automatically recommends the optimal model size for your hardware when you run the installation command. As shown in the video at 4:10, Claude analyzes your system specs and suggests the best version.
- 4B model: Most modern laptops
- 12B model: 16GB+ RAM recommended
- Automatic hardware detection
Yes, all Claude Code features work normally including file uploads and image understanding. Gemma 4 is multimodal just like Claude, so it can analyze images and documents you provide.
The video demonstrates this at 5:30 by uploading a screenshot and having Gemma 4 analyze it locally. The only difference is the processing happens on your device rather than Anthropic's servers.
- Full file upload support
- Image understanding capabilities
- All processing stays on your device
No, there are zero ongoing costs. Unlike Claude subscriptions that charge per token, this setup runs completely free forever.
The only potential cost would be if you choose to upgrade your hardware to run larger models, but even that is optional. As shown in the video, the creator saves $500-$1,000 monthly by using this setup for most tasks.
- No subscription fees
- No token costs
- Hardware upgrades optional
This is significantly more private since no data ever leaves your computer. With standard Claude usage, all your prompts and files are processed on Anthropic's servers.
With this local setup, everything stays on your device - perfect for sensitive business information or personal data. The video emphasizes this benefit at 2:15 by showing the system working completely offline.
- No data sent to the cloud
- Works without internet
- Ideal for sensitive information
Yes, you can easily toggle between local Gemma 4 and cloud-based Claude models. The setup maintains all your Claude Code functionality - you're just changing the underlying AI engine.
This lets you use free local processing for most tasks while still having access to Claude's full power when needed. The creator mentions this hybrid approach at 6:20 in the video.
- Seamless switching between local and cloud
- Use local for most tasks, cloud for complex ones
- All features work in both modes
GrowwStacks helps businesses implement AI automation solutions like local Claude Code deployments across their teams. We handle the technical setup so you can focus on using the technology.
Our team can set up optimized configurations for your specific hardware, create custom workflows that leverage local AI processing, and integrate these solutions with your existing business tools. We provide end-to-end support from initial setup to ongoing maintenance.
- Custom deployment for your business needs
- Hardware optimization guidance
- Ongoing support and maintenance
Ready to Stop Paying for Claude Credits?
Every month you delay is another $500+ wasted on token fees for tasks that could run free. Our AI automation team can have your local Claude Code setup running in under an hour - with no ongoing costs.