Apple has been quiet about its plans for generative AI, but with the release of new AI models today, it appears the company’s immediate ambitions lie firmly in the “make AI run locally on Apple devices” realm.

Researchers from Apple released OpenELM, a series of four very small language models on the Hugging Face model library, on Wednesday. Apple said on its Hugging Face model page that OpenELM, which stands for “Open-source Efficient Language Models,” performs very efficiently on text-related tasks like email writing. The models are open source and ready for developers to use.

It has four sizes: 270 million parameters; 450 million parameters; 1.1 billion parameters; and 3 billion parameters. Parameters refer to how many variables a model understands in decision-making from its training datasets. For example, Microsoft’s recently released Phi-3 model bottoms out at 3.8 billion parameters, while Google’s Gemma offers a 2 billion parameter version. Small models are cheaper to run and optimized to work on devices like phones and laptops. 

Apple CEO Tim Cook teased that generative AI features will be coming to the company’s devices, saying in February that Apple is spending “a tremendous amount of time and effort” in the space. However, Apple has yet to share specifics on what its use of AI might look like.

The company has released other AI models before, though it hasn’t released any AI foundation model for commercial use like its competitors have.

In December, Apple launched MLX, a machine learning framework that ideally makes it easier for AI models to run better on Apple Silicon. It also released an image editing model called MGIE, which lets people fix photos with prompts. Another model, Ferret-UI, could be used to navigate smartphones. Apple is also rumored to be working on a code completion tool similar to GitHub’s Copilot. 

However, even with all the model releases from Apple, the company reportedly reached out to Google and OpenAI to bring their models to Apple products.