A Mozilla project that packages a complete LLM and its runtime into a single executable file. Download one file, run it on Windows, Mac, or Linux with no installation, no dependencies, and no network connection required.
Reviewed by Marco Wollank
llamafile
docs.mozilla.ai/llamafile 1 rating so far*
Rate llamafile: No account needed
Threat level
Hardened
A hardened pick. Worth the effort once you have chosen to shrink your footprint on purpose. Enough for most people. Threat levels
Our take
The portable approach has a real advantage: copy one file to a USB drive, run it on any machine, and the model never touches the internet. Built on llama.cpp and Cosmopolitan Libc, it covers a wide range of hardware without configuration. The main limitation is the Windows 4 GB file cap: larger models need to load weights separately, which breaks the one-file promise slightly. For air-gapped use, travel, or anyone who wants zero-setup local AI, llamafile is the most self-contained option available.
GitHub at a glance
mozilla-ai/llamafile
Stars
25,366
+ 361 this week
Last commit
10d ago
healthy
Latest release
0.10.3
1mo ago
Stars, last 32d
Website at a glance
docs.mozilla.ai
B score 70
Solid website security headers
Graded by Mozilla HTTP Observatory, tested 15d ago
Inspect this site yourself
Measures the security configuration of the tool's own website, not the privacy of the product itself. A strong tool can still score low here.
llamafile alternatives
Lumo Proton's hosted AI assistant with zero-access encryption of saved chats and a strict no-logs policy.
Duck.ai DuckDuckGo's private AI chat that lets you talk to multiple models with no account and no training on your prompts.
Euria Infomaniak's Swiss-hosted AI assistant that pledges no training on user data and operates under GDPR and Swiss data law.
Apple Intelligence Apple's AI. On-device where it can, with verifiable Private Cloud Compute for the rest.
Skales Skales is a local AI desktop agent that runs on your computer with any AI provider you choose. All conversations and data stay on your machine, and you control which model and which API keys you use.
Ollama Ollama lets you download and run large language models locally via a simple CLI and REST API. Supports a growing library of open models including Llama, Mistral, and Gemma on Windows, Mac, and Linux with no data sent to the cloud.
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