llamafile

What it does

llamafile packages a language model and its inference runtime into a portable executable. Users can download a prepared file or build their own, then run the model locally without setting up a separate model-serving stack.

It supports multiple desktop operating systems and GGUF models, making it useful for local experimentation and private AI deployments. The project also includes related audio-transcription packaging. Hardware capacity, operating-system constraints and the selected model’s license still apply, and feature support can differ between runtime versions.

What it can do

• Portable model packaging
• Local inference
• GGUF model support
• Offline execution
• Cross-platform runtime

Before you choose

• Model weights have their own licenses and hardware requirements.
• Current and older runtime versions differ in supported features.

Listed under

• Coding
• Sandboxes and infrastructure

Get started

1. Choose a prepared model file or follow the build documentation.
2. Check model licensing, memory needs and platform instructions.
3. Run the executable and test the local inference interface.

The runtime is distributed as open-source software. Model licenses and the hardware needed to run them are separate.

We couldn’t find published prices for llamafile. See their pricing page ↗

Sources for this overview

Product pages, documentation, and pricing checked 30 Oct 2026. Each source supports part of the overview; availability and prices can change.

• llamafile - Run OS LLMs locally from a single executable file ↗www.mozilla.ai

Company website

mozilla.ai: product, pricing and policy pages

Social accounts

Accounts the company links, and its posts on X

Human review

Checked by a person

knowledge_base

manual_review

Last checked 30 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.