GGML

license

MIT(OSI)

source

public

core-gated

ungated

MIT license body confirmed (Copyright 2023-2026 The ggml authors); full source public. The repository is public and unarchived, and the README describes the whole library with no paid, enterprise or hosted tier beside it, so source is public and the core ungated.

• https://github.com/ggml-org/ggml/blob/master/LICENSE recorded 2026-08-13

  LICENSE file is the verbatim MIT License text, Copyright (c) 2023-2026 The ggml authors

• https://api.github.com/repos/ggml-org/ggml recorded 2026-08-13

  Repo metadata - license spdx_id MIT, private false, archived false, default branch master - for ggml-org/ggml.

• https://raw.githubusercontent.com/ggml-org/ggml/master/README.md recorded 2026-08-13

  README describes the tensor library's feature list - quantization, autodiff, optimizers, no third-party dependencies - and notes that some development now happens in the llama.cpp and whisper.cpp repos. No paid tier appears.

ggml publishes no package of its own - it is vendored as source into llama.cpp and whisper.cpp - so GitHub stars are the only signal available, which keeps the level directional and capped at 3. The GitHub API reports 15,159 stargazers on ggml-org/ggml, which falls in the over-10K stars band, level 3 on the stars scale. Stars are banded on their own scale rather than the download one, because a star is not a download.

• https://github.com/ggml-org/ggml recorded 2026-08-13

  GitHub repo page for ggml-org/ggml, 15.2k stars

• https://api.github.com/repos/ggml-org/ggml recorded 2026-08-13

  stargazers_count = 15159 for ggml-org/ggml

Foundational low-level runtime enabling efficient on-device LLM/ASR inference.

• https://github.com/ggml-org/ggml recorded 2026-08-13

  README still describes a dependency-free C tensor library with integer quantization, autodiff and optimizers, backing llama.cpp and whisper.cpp