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

DevFeed: [AnyLanguageModel 1.0: One Year of Local Models on Apple Platforms](<https://devfeed.tech/articles/anylanguagemodel-1-0-one-year-of-local-models-on-apple-platforms-91096.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/anylanguagemodel-1-0>)

Author: Mattt

Published: 2026-10-20T00:00:00Z

Content type: release

Language: en

Sources: [Hugging Face](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [AI Development](<https://devfeed.tech/topics/ai-development.md>), [Local AI](<https://devfeed.tech/topics/local-ai.md>), [llama.cpp](<https://devfeed.tech/topics/llama-cpp.md>), [Ollama](<https://devfeed.tech/topics/ollama.md>), [MLX](<https://devfeed.tech/topics/mlx.md>), [inference-providers](<https://devfeed.tech/topics/inference-providers.md>), [Swift](<https://devfeed.tech/topics/swift.md>), [Open Source Models & Datasets](<https://devfeed.tech/topics/open-source-models-datasets.md>), [gpt-oss](<https://devfeed.tech/topics/gpt-oss.md>), [gemma](<https://devfeed.tech/topics/gemma.md>), [iphone](<https://devfeed.tech/topics/iphone.md>)

Tags: [1-5](<https://devfeed.tech/tags/1-5.md>), [1-7](<https://devfeed.tech/tags/1-7.md>), [about](<https://devfeed.tech/tags/about.md>), [accelerated](<https://devfeed.tech/tags/accelerated.md>), [adaptive](<https://devfeed.tech/tags/adaptive.md>), [added](<https://devfeed.tech/tags/added.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-models](<https://devfeed.tech/tags/ai-models.md>), [alibaba](<https://devfeed.tech/tags/alibaba.md>), [also](<https://devfeed.tech/tags/also.md>), [anthropic](<https://devfeed.tech/tags/anthropic.md>), [api](<https://devfeed.tech/tags/api.md>), [api-keys](<https://devfeed.tech/tags/api-keys.md>), [apis](<https://devfeed.tech/tags/apis.md>), [app](<https://devfeed.tech/tags/app.md>), [community](<https://devfeed.tech/tags/community.md>), [intelligence](<https://devfeed.tech/tags/intelligence.md>), [llm](<https://devfeed.tech/tags/llm.md>), [local](<https://devfeed.tech/tags/local.md>), [local-models](<https://devfeed.tech/tags/local-models.md>), [mlx](<https://devfeed.tech/tags/mlx.md>), [models](<https://devfeed.tech/tags/models.md>), [open](<https://devfeed.tech/tags/open.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [swift](<https://devfeed.tech/tags/swift.md>)

## AI overview

AnyLanguageModel 1.0 lets Swift apps use one session API across Apple's system model, local open-weight models via llama.cpp, MLX and Core ML, and hosted providers. Tool calling and guided generation work across providers; image prompts use Foundation Models 27 syntax, while OS 27 also supports models conforming to Foundation Models' LanguageModel protocol. Hosted integrations include OpenAI, compatible Open Responses endpoints, Anthropic, Gemini, Ollama, Private Cloud Compute and Hugging Face Inference Providers. Hosted and local models share guided generation, streaming tool calls and response token usage. Reasoning is included in transcripts but omitted when switching to a provider that cannot replay it; API keys can be fetched through a closure, including short-lived tokens from an app's server. AnyLanguageModel also runs on Linux. The article gives model-size examples: two listed quantized GGUF models fit on iPhone, while a 16 GB Qwen3.8 27B MLX model requires a Mac with at least 32 GB memory.

## Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.