GGML and llama.cpp Team Joins Hugging Face to Sustain Local AI Infrastructure

Hugging Face

Feb 20, 2026 · Updated Apr 25, 2026

Georgi Gerganov and the GGML team are joining Hugging Face to ensure long-term resources for llama.cpp and local AI. The project stays fully open-source with Georgi retaining technical leadership - HF is providing sustainable backing, not taking over.

GGML and its flagship project llama.cpp - the foundational library for running LLMs locally - are joining Hugging Face. Georgi Gerganov and team bring the goal of giving local AI infrastructure sustainable resources as local inference becomes a competitive alternative to cloud. Georgi retains full autonomy and technical leadership, and the project stays 100% open-source.

The practical focus is integration: making it seamless to ship new models in llama.cpp from HF's transformers library, which is the source of truth for model architectures. New releases become runnable locally faster. HF also plans to improve packaging for ggml-based software, lowering the barrier for casual users running models on their own hardware.

If you rely on llama.cpp through Ollama, LM Studio, or direct use, this is a stability signal: the infrastructure behind your local AI setup now has long-term institutional support.

View the full update on huggingface.co

Hugging Face

@huggingfaceFeb 20

Thrilled to have GGML with us going forward! 🤗❤️🦙 Read the announcement blog https://t.co/hhHmF9IdHY https://t.co/2T3d6x03Iq

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