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COMPANY · ENTITY #1744

Core ML

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EVENT TIMELINE

3

MODELS · 1 SOURCE · Hugging Face

AnySpeechRecognizer and AnyDecisionModel let developers run open speech and decision models on Apple platforms

AnySpeechRecognizer and AnyDecisionModel are Swift packages that plug open speech-recognition and decision models into Apple’s speech API and local runtimes. They support Core ML-converted models (including NVIDIA Parakeet variants and Alibaba’s Qwen3‑ASR), speaker diarization via a Sortformer-based module, and on-device downloads from the Hugging Face Hub.

6.0

CODING · 1 SOURCE · Hugging Face

AnyLanguageModel 1.0 released with swift-huggingface and swift-xet 1.0, enabling local and hosted models on Apple platforms

AnyLanguageModel 1.0 is out alongside swift-huggingface 1.0 and swift-xet 1.0, offering a drop-in API that lets Swift apps on iOS, macOS, visionOS and Linux use Foundation Models-compatible local models (via llama.cpp, MLX, Core ML) or hosted providers (Hugging Face, Anthropic Messages API, OpenRouter and OpenAI-compatible endpoints). New features include guided generation across providers, image support using Foundation Models 27 syntax, reasoning transcript handling, short-lived API key closures, and migration guidance for existing apps.

6.0

MODELS · 1 SOURCE · Google Research

MobileDiffusion: subsecond on-device text-to-image generation with a 520M-parameter latent diffusion model

MobileDiffusion is an efficient latent text-to-image diffusion model designed for mobile devices that combines a compact CLIP-ViT/L14 text encoder with a streamlined diffusion UNet and image decoder. By adopting DiffusionGAN for one-step sampling and focusing on architectural efficiency, the 520M-parameter model can produce a 512×512 image in about half a second on tested premium iOS and Android devices.

8.0