TECHNOLOGY PROFILE · TECH-0089
GGUF
Model-file format used by ggml-based inference tooling.
Reference link only — not reviewed this edition. This profile preserves the prepared catalog’s original descriptions. Advantages depend on the workload; comparisons are editorial, not benchmark results.
Where it has an edge
Bundles metadata and quantized tensor representations for compatible lightweight runtimes.
Best-fit problems
Shipping local quantized models for llama.cpp-style engines.
Tradeoffs & cautions
Runtime and quantization support differ; conversion can lose model-specific capabilities.
What to test before choosing
Round-trip representative artifacts/messages; check compatibility, security, precision and version evolution.
Runtime & hardware
Across applications and runtimes
Access & licensing
Open specifications/implementations; usage terms vary
Execution
Format / protocol / component
Lifecycle
Not independently audited
Comparison basis
Editorial problem-fit judgement; no head-to-head benchmark performed
Connected concepts
Alternatives to investigate
Safetensors · ONNX