Optimum
Hugging FaceOptimum is an extension of Transformers, Diffusers, TIMM, and Sentence-Transformers that provides tools to optimize training and inference on targeted hardware. It supports accelerators and runtimes including ONNX Runtime, OpenVINO, Intel Gaudi, AWS Trainium/Inferentia, and NVIDIA TensorRT-LLM, and handles model export and quantization. It is maintained by Hugging Face.
Verified 2026-08-13 via GitHub and the LICENSE body.
Openness
5 high confidence- license
- Apache-2.0(OSI)
- source
- public
- core-gated
- ungated
LICENSE body is verbatim Apache License 2.0; 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/huggingface/optimum/blob/main/LICENSE recorded 2026-08-13
LICENSE file is the verbatim Apache License Version 2.0 text
- https://api.github.com/repos/huggingface/optimum recorded 2026-08-13
Repo metadata - license spdx_id Apache-2.0, private false, archived false, default branch main - for huggingface/optimum.
- https://raw.githubusercontent.com/huggingface/optimum/main/README.md recorded 2026-08-13
README describes Optimum as an extension of Transformers, Diffusers, TIMM and Sentence-Transformers with per-accelerator extras, all pip-installable. No paid tier appears.
Adoption
4 high confidence1,919,623 PyPI downloads of `optimum` in the trailing 30 days, which falls in the 1M-10M a month band of the software usage scale, level 4.
- https://pypistats.org/api/packages/optimum/recent recorded 2026-08-13
last_month downloads = 1,919,623 for optimum
Capability
4 high confidenceBroad multi-backend optimization layer, though dependent on the core Transformers stack.
- https://github.com/huggingface/optimum recorded 2026-08-13
README still describes hardware-targeted optimization, export and quantization across ONNX Runtime, OpenVINO, Gaudi, Trainium/Inferentia and TensorRT-LLM
Verified 2026-08-13