# Hugging Face — AnyLanguageModel 1.0: One Year of Local Models on Apple Platforms

- Company: Hugging Face (huggingface.co)
- Announced: 2026-10-20
- Category: not stated
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://huggingface.co/blog/anylanguagemodel-1-0
- Record: https://forck.live/items/25189-anylanguagemodel-1-0-one-year-of-local-models-on-apple-platforms
- Subject: Platform

Last November, we introduced AnyLanguageModel on this blog: a drop-in replacement for Apple's Foundation Models framework that lets you choose the model and provider your app uses. We heard from app developers who were curious about local models but weren't always sure how to get started. They also wanted to avoid the added complexity of supporting multiple inference providers. AnyLanguageModel grew out of that feedback. Local and hosted inference each have their strengths, and both have a role in building this new generation of intelligent apps. A shared API makes it easier to choose the right model for each task. A year and dozens of releases later, AnyLanguageModel 1.0 is out, along with swift-huggingface 1.0 and swift-xet 1.0 . Here's what changed, and what's next: A drop-in compatible API The core idea of AnyLanguageModel remains the same: use the Foundation Models API with the model that fits your app. To get started, change your import statement: - import FoundationModels + import AnyLanguageModel The same session code then works with the system model, with open-weight models through llama.cpp, MLX, and Core ML, and with the hosted providers below. …

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Record: https://forck.live/items/25189-anylanguagemodel-1-0-one-year-of-local-models-on-apple-platforms
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