Apple<\/strong> releases 143 models on its apple organization on Hugging Face<\/a> (a Hugging Face verified organization) as outputs of its machine learning research. These are not the Apple Intelligence models that ship in its products; most are research models released alongside papers<\/strong>.<\/p>\n A recurring theme is doing more with less compute<\/strong>: vision encoders that compress images into fewer tokens, reading long documents by shrinking them into images, diffusion-based code generation, and fine-tuning a model on its own outputs. Rather than competing on size, the work asks how to run a model of a given size more efficiently. The base models are often other companies’ open models such as Qwen and Mistral.<\/p>\n LensVLM, SimpleSD, CADD, CLaRa, DiffuCoder, FastVLM, STARFlow and Sharp, which we checked, are all under the Apple Machine Learning Research Model License<\/strong>. Use is limited to non-commercial scientific research and academic development<\/strong>; commercial products and services and product development are explicitly excluded, and the same limits apply to fine-tuned derivatives. You can try them locally, but you cannot build them into tools you use for work. Read each model’s license text before use. This summary is not legal advice.<\/p>\n Sources: the apple organization card<\/a>; the model cards and licenses of apple\/LensVLM-9B<\/a>, apple\/SimpleSD-30B-instruct<\/a>, apple\/CADD-Base-7B<\/a>, apple\/CLaRa-7B-Instruct<\/a> and apple\/FastVLM-7B<\/a>; the model list of the apple organization on Hugging Face (all as of 2026-09-28).<\/em><\/p>\n Local Model Watch has published 1 article(s) on Apple’s own models, 0 on third-party fine-tunes and quantized builds based on them, and 0 from its official blog. The model list below is collected by code from Hugging Face every day. Part of our publisher index<\/a>; model families link to their family pages<\/a>.<\/p>\nWhat It Releases<\/h2>\n
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Our Coverage and Data<\/h2>\n
At a Glance<\/h2>\n