ggml-org focuses on AI inference at the edge with a varied public GitHub presence. The organization showcases a wide range of repositories, primarily written in C++, Shell, TypeScript, Vim Script, Swift, and Svelte. Notable projects include llama.cpp, whisper.cpp, and ggml, which are widely used in the machine learning community.
Top languages
Public repositories
llama.cpp
LLM inference in C/C++
whisper.cpp
Port of OpenAI's Whisper model in C/C++
ggml
Tensor library for machine learning
llama.vim
Vim plugin for LLM-assisted code/text completion
llama.vscode
VS Code extension for LLM-assisted code/text completion
LlamaBarn
A cosy home for your LLMs.
p1
LLM-based code completion engine
llama.qtcreator
Local LLM-assisted text completion for Qt Creator.
ci
CI for ggml and related projects
llama.pages
llama.cpp's official website
.github
No description provided for this repository.
llama-install.sh
Build and install script for llama.app
media
No description provided for this repository.
ggml-org.github.io
No description provided for this repository.
free-disk-space
:octocat:⚙️🗑️ A GitHub Action to free disk space on an Ubuntu runner.
tmp
Use for testing CI
gha
self-hosted GHA runners in containers
llama.brand
Brand assets for llama.app / llama.cpp
ccache-action
github action to speedup building using ccache
action-create-release
Github action to create releases
setup-xcode
Set up your GitHub Actions workflow with a specific version of Xcode
Frequently asked questions
What does ggml-org build on GitHub?
ggml-org builds a variety of tools and libraries focused on AI inference and machine learning. Their notable projects include llama.cpp for LLM inference and whisper.cpp as a port of OpenAI's Whisper model, among others.
Which programming languages does ggml-org use?
ggml-org primarily uses C++, Shell, TypeScript, Vim Script, Swift, and Svelte in their public repositories. This diverse set of languages supports their focus on machine learning applications and AI tools.
Are ggml-org's repositories public?
Yes, all of ggml-org's repositories are public on GitHub. This transparency allows users and developers to access and contribute to their projects, enhancing collaboration within the AI and machine learning communities.
Is this exposure intended?
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