This project provides a font file, llama.ttf, that embeds a large language model (LLM) and its inference engine. It targets users who want to experiment with running LLMs directly within text rendering pipelines, offering a novel approach to embedding computational capabilities into graphical elements.

How It Works

The llama.ttf file is a TrueType font that leverages WebAssembly (Wasm) to execute an LLM. By integrating the LLM and its inference engine directly into the font data, it allows applications that use font rendering libraries like Harfbuzz (with Wasm support enabled) to load and run the model implicitly. This approach bypasses traditional application-level integration, enabling LLM inference within text processing contexts.

Quick Start & Requirements

• Install by adding llama.ttf to your system's font directory (e.g., ~/.fonts).
• Requires Harfbuzz built with Wasm support (-Dwasm=enabled) and wasm-micro-runtime.
• To run, LD_PRELOAD the Harfbuzz and iwasm shared libraries before executing a Harfbuzz-based application (e.g., gedit, GIMP).
• More info and demo: https://fuglede.github.io/llama.ttf/

Highlighted Details

• Embeds LLM and inference engine within a font file.
• Leverages WebAssembly for execution.
• Enables LLM inference via font rendering pipelines.

Maintenance & Community

No specific information on contributors, community channels, or roadmap is provided in the README.

Licensing & Compatibility

The README does not specify a license. Compatibility is limited to applications using Harfbuzz with Wasm support.

Limitations & Caveats

This project appears to be experimental, requiring specific build configurations for Harfbuzz and WebAssembly runtime. The practical utility and performance of running an LLM within a font rendering context are not detailed.