<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>MLX · LLMobile.news</title><link>https://llmobile.kavents.com/tags/mlx/</link><description>A concise news ticker covering AI on mobile devices, local models, apps and hardware.</description><language>en-GB</language><atom:link href="https://llmobile.kavents.com/tags/mlx/index.xml" rel="self" type="application/rss+xml"/><item><title>Locally AI runs Llama, Gemma and Qwen offline on iPhone and iPad through MLX</title><link>https://llmobile.kavents.com/ticker/locally-ai/</link><guid isPermaLink="true">https://llmobile.kavents.com/ticker/locally-ai/</guid><pubDate>Sun, 13 Apr 2025 09:00:00 +0200</pubDate><description>Adrien Grondin released Locally AI on April 13, 2025, an iPhone and iPad app that downloads open-weight language models and runs them entirely on the device. The App Store listing gives that release date and lists the app as free with no in-app purchases. Once a model is on disk the app needs no account and no internet connection, and Grondin states that no data is collected and nothing is sent to a cloud service.
The site at launch named Meta Llama 3.2 and Llama 3.1, Google Gemma 2, Qwen 2 and DeepSeek R1 as the models on offer, and described them as language and vision models, so a picture can go into the prompt alongside text. A user picks a model, downloads it once and can edit the system prompt the model runs under.
Grondin builds the app on MLX, Apple&amp;amp;rsquo;s machine learning framework for Apple silicon, and attributes the performance to unified memory, where the CPU and the GPU reach the same memory pool so arrays need not be copied between them. The app fetches open-weight model files itself rather than calling any model that ships with the operating system.
Neither the site nor the App Store entry names a minimum chip. The site says only that Locally AI covers recent iPhone and iPad models and is optimised for Apple silicon, and the listing asks for iOS 18.1 or iPadOS 18.1 or later. No generation speed, memory requirement or model file size is given anywhere in the developer&amp;amp;rsquo;s own material, and the launch site was a bought template whose team, testimonial and FAQ sections still carried placeholder Latin text.
Update, April 8, 2026. Grondin added support for Apple&amp;amp;rsquo;s on-device Foundation Models framework in September 2025, so the app can open a conversation with the model built into iOS 26 without downloading anything, which Simon Willison recorded on September 21, 2025. A Mac version followed and requires macOS 26 or later. LM Studio announced on April 8, 2026 that Locally AI had joined the company and that Grondin had moved with it, and the App Store entry now reads Locally AI by LM Studio with Element Labs Inc as the seller.
Source: https://locallyai.app/
Read the article: https://llmobile.kavents.com/ticker/locally-ai/</description><category>Apple</category><category>Apple Silicon</category><category>MLX</category><category>iOS</category><category>iPhone</category></item></channel></rss>