llamafile

Use it when

• You want to hand colleagues an LLM they can run on macOS, Linux, BSD, or Windows by downloading one file and executing it, with no Python, drivers, or package installs.
• You need fully local, offline model inference on varied hardware and operating systems without maintaining a per-machine runtime stack.

What it solves

Not the fit when

• High-throughput multi-GPU cluster serving; llamafile targets local single-machine execution
• Treating the llamafile project's Apache/MIT licenses as permission for every bundled or external model; model weights have their own licenses and acceptable-use terms
• Single-file Windows executables larger than 4 GB; use the separate llamafile binary with external GGUF weights
• Assuming all pre-0.10 classic features exist in the new llama.cpp-aligned build system
• Hosted inference; execution is local
• gpu cluster serving throughput
• api provider routing
• model fine tuning
• token counting and cost estimation

Install

curl -LO https://huggingface.co/mozilla-ai/llamafile_0.10/resolve/main/Qwen3.5-0.8B-Q8_0.llamafile && chmod +x Qwen3.5-0.8B-Q8_0.llamafile (Windows: rename to add .exe)

Invoke

./Qwen3.5-0.8B-Q8_0.llamafile to run the bundled model locally; larger pre-built llamafiles are available, or run the bare llamafile binary with external GGUF weights (required on Windows for models over 4GB); whisperfile does the same single-file packaging for speech-to-text

Alternatives

No reviewed alternatives recorded yet.