CanIRun.ai: 5-Second Check for Local LLM Compatibility

CanIRun.ai is a free browser-based AI model compatibility checker built by developer midudev. It requires no downloads, no sign-ups — just open the page and it automatically detects your hardware config, telling you exactly which open-source LLMs (Llama, Qwen, DeepSeek, and more) you can run locally.

Want to run DeepSeek, Qwen, or Llama on your own machine but not sure if your hardware can handle it? You used to have to dig through benchmark posts, look up GPU specs, and do a lot of searching.

Now there’s CanIRun.ai — open the website and it’ll tell you right away.

What Problem Does It Solve?

A lot of people want to try running AI models locally, but face one real question: Can my computer actually run this?

• My RTX 3060 has 8GB of VRAM — can it run a 7B model? What about 14B?
• My MacBook M3 with 24GB unified memory — what tier of model can it handle?
• My integrated GPU with 16GB RAM — any models I can run at all?

CanIRun.ai solves exactly this problem. Before downloading any model, it gives your hardware a quick check so you know your limits upfront.

Key Features

One-Click Hardware Detection in the Browser

No downloads, no sign-ups required. Open canirun.ai and it automatically detects:

• GPU model and compute capability
• VRAM size
• RAM size
• CPU cores

💡 Tip: Results are estimates based on browser APIs and may differ from actual performance — but they’re more than enough for an initial check.

Model Compatibility Ratings

Based on your hardware, it recommends which models you can run and shows the expected experience level:

Rating	Meaning
🟢 Runs great	Runs smoothly, excellent experience
🟡 Runs well	Runs fine, good results
🟠 Decent	Works, but a bit strained
🔴 Tight fit	Barely runs, not recommended
⚫ Barely runs	Basically won’t run

Filter Models by Task Type

The page lets you filter by task category:

• 💬 Chat — conversational assistants (DeepSeek-chat, Qwen, etc.)
• 💻 Code — code generation (CodeLlama, Codestral, etc.)
• 🧠 Reasoning — reasoning and thinking models (DeepSeek-R1, etc.)
• 👁️ Vision — vision-capable multimodal models

Filter by Provider and License

You can also narrow down by model provider (DeepSeek, Qwen, Meta, Google, Mistral, etc.) and open source license (Apache 2.0, MIT, CC BY-NC, etc.) to quickly find models that fit your situation.

Who Is This For?

• AI beginners wanting to try local models: Test your hardware before downloading
• Developers: Evaluate hardware requirements for different models to help with selection
• Local AI enthusiasts: Quickly understand your machine’s ceiling and plan model sizes accordingly

Important Caveats

While CanIRun.ai is very handy, the results are estimates. Actual performance depends on:

• Quantization level (INT4 / INT8 / FP16)
• Inference framework (llama.cpp, vLLM, Ollama)
• Driver version
• System background load
• Context length settings

So for a final answer on whether a model truly runs well, you’ll still want to test it in practice — but CanIRun.ai saves you a lot of unnecessary downloads and trial-and-error.

Key Takeaways

📌 Three things you should know before using CanIRun.ai:

1. Zero barrier: No registration required, all detection runs locally in your browser — your data is never uploaded
2. Estimates only: Results come from browser APIs; actual performance depends heavily on quantization and inference framework
3. Best for filtering: Use it to quickly narrow down model options before downloading multi-gigabyte files — not as a final deployment decision

Conclusion

CanIRun.ai is a free, zero-barrier, no-install-required local AI model compatibility checker. Open the page, get results in 5 seconds, and know your limits before downloading multi-GB model files.

Highly recommended for anyone who wants to explore local LLMs but doesn’t know where to start.

👉 Try it now: https://www.canirun.ai/