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APPLE MODELS · DEMOS · GUIDES
Apple’s research teams publish far more than FastVLM. This hub organises the models by task, marks which ones have an in-browser tool or a tested local guide on this site, and links every entry to its official source.
Vision
Vision-language models, image–text encoders and depth estimation that run on-device.
[### FastVLM
Browser tool
Vision-language model with the FastViTHD encoder; 0.5B runs in your browser.
Released 2025Open](/blog/fastvlm-models)[### Depth Pro
Browser tool
Metric depth and focal length from one image; powers the depth map generator.
Released 2024Open](/blog/depth-pro)[### MobileCLIP2
Browser tool
Low-latency image–text encoders; zero-shot classification and similarity tools.
Released 2025Open](/blog/mobileclip2)[### AIMv2
Run guide
Open vision encoders (0.3B–2.7B) with PyTorch, JAX and MLX backends.
Released 2024Open](/blog/aimv2)
3D
Single-image 3D: nearby-view synthesis and relightable asset generation.
[### SHARP
Run guide
One photo to 3D Gaussians and real-time nearby views in under a second.
Released 2025Open](/blog/apple-sharp-image-to-3d)[### Luce
Reference
Relightable PBR Gaussians and textured meshes from a single object image.
Released Aug 2026Open](/blog/luce)
Image & video generation
Normalizing-flow generators for images, video and unified multimodal generation.
[### STARFlow · STARFlow-V · STARFlow2
Reference
Scalable normalizing flows for images, video and unified multimodal generation.
Released 2025–2026Open](/blog/starflow)
Language & code
Research models for code generation and retrieval-augmented reasoning.
[### DiffuCoder
Reference
7B masked-diffusion language model for code generation.
Released 2025Open](/blog/apple-diffucoder)[### CLaRa
Reference
Retrieval and generation joined through continuous latent reasoning.
Released 2025Open](/blog/apple-clara)[### SimpleSD
Reference
Embarrassingly simple self-distillation that improves code generation (Apple Research).
Released 2026Official page](https://machinelearning.apple.com/research/simple-self-distillation)
Apple Intelligence
The Apple Foundation Models behind Apple Intelligence and the developer framework that exposes them.
[### Apple Foundation Models (AFM 3)
Run guide
AFM 3 Core, Core Advanced and the Private Cloud Compute models behind Apple Intelligence.
Released Jun 2026Open](/blog/apple-foundation-models)[### Foundation Models framework
Run guide
Swift and Python APIs for on-device LLM sessions, guided generation, tools and multimodal prompts.
Released WWDC25 · WWDC26Open](/blog/apple-foundation-models-framework)
What the badges mean
- Browser tool: runs in your browser on this site, no install.
- Run guide: local setup steps verified against the official repository.
- Reference: research summary with official links; no runnable release yet or out of scope for on-device use.
Start with a task instead
Depth maps, classification, similarity and image Q&A—each tool names the Apple model behind it.
Beyond Apple
Compare FastVLM with SmolVLM2, LFM2.5-VL, Gemma and other small VLMs that run on-device.
Continue Reading
More articles connected to the same themes, protocols, and tools.
Referenced Tools
Browse entries that are adjacent to the topics covered in this article.









