# Hugging Face — Introduction to ggml

- Company: Hugging Face (huggingface.co)
- Announced: 2024-08-13T00:00:00+00:00
- Subject: Platform
- Source: https://huggingface.co/blog/introduction-to-ggml
- Record: https://forck.live/items/1839-introduction-to-ggml

Hugging Face published a blog post introducing ggml, an open-source machine learning library written in C and C++ focused on Transformer inference. It highlights ggml's minimalism, easy compilation, lightweight nature, good hardware compatibility, support for quantized tensors, and memory efficiency, as well as current disadvantages such as limited backend support and breaking changes.

## Evidence

Verbatim from https://huggingface.co/blog/introduction-to-ggml:

> ggml is a machine learning (ML) library written in C and C++ with a focus on Transformer inference. The project is open-source and is being actively developed by a growing community.

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Record: https://forck.live/items/1839-introduction-to-ggml
Catalogue: https://forck.live/llms.txt
Feed: https://forck.live/feed.md
