Data as of Aug 16, 2026 · Based on 3,131,739 AI responses across 10,525 prompts · See how Parse measures this
IBM/gguf provides GGUF-encoded AI models and the conversion scripts to create them. The repo contains Docker-related workflows and automation for building, testing, and distributing GGUF models (including g4 variants) as artifacts. It is an Apache-2.0 licensed open-source project on GitHub that supports IBM's AI model interoperability efforts.
Parse Score
#21 of 103 in ML Deployment & Inference Optimization Tools
Sources
huggingface.co shapes more of what AI says about GGUF than any other source, at 21% of its citations.
lafzusa.com · tensorrigs.com · youtube.com · ai.gopubby.com
The market map
ML Deployment & Inference Optimization Tools →Excerpts where GGUF appeared in the AI's answer

GGUF + llama.cpp: Excellent ecosystem, very fast, broad hardware support.

GGUF (via llama.cpp ecosystem) — *best overall for local / CPU / Mac / edge*
Excerpts where GGUF appeared in the AI's answer

GGUF (via llama.cpp): The gold standard if your deployment target includes consumer hardware, edge devices, or local CPU/GPU runtimes.