What is a .GGUF file?
GGUF stores quantised large-language-model weights for local inference. Used by llama.cpp.
- Did you know
- GGUF was introduced in 2023 by the llama.cpp project to run language models on ordinary computers.
- GGUF stands for GGML Universal File and packs weights plus structured key-value metadata into one self-contained file.
- It was designed as an extensible, backward-compatible successor to the older GGML format.
- What Analyser reads
- Identify and read metadata from developer and data files: JWT tokens (header + claims + expiry), WebAssembly, Java class files, NumPy/Safetensors/GGUF model files, source maps, SQL dumps, Visual Studio/.NET projects, Terraform, Protobuf, GraphQL, SARIF, Python bytecode, and Apple property lists (XML + binary). Jupyter notebooks (IPYNB) and HAR captures now open in a full viewer - see Notebooks & data above.
- Depth of analysis
- .GGUF is an identification-grade format: Analyser recognises it from its bytes and decodes the header metadata it carries, rather than opening it in a full viewer. Formats that do get a full viewer are marked "Full" on the formats page.
- Open a .GGUF file
- Drag a .GGUF file onto the Analyser home page (or tap to pick one). It is identified entirely in your browser - nothing is uploaded, there is no account, and it works offline once installed.