LLM Farm icon
LLM Farm: Comprehensive iOS App for Local Large Language Model Deployment

by Artem Savkin

LLM Farm enables iOS users to run multiple large language models locally on Apple devices. The app supports numerous model architectures and multimodal capabilities, targeting developers and AI enthusiasts seeking offline AI processing.

Detailed Review

LLM Farm represents a significant advancement in mobile AI deployment, allowing iOS and macOS users to operate various large language models directly on their Apple devices without cloud dependency. Developed by Artem Savkin, this application positions itself as a comprehensive toolkit for local AI experimentation and implementation, leveraging Apple's Metal framework for optimized performance on compatible hardware. The application's core functionality centers around its extensive model support, encompassing numerous architectures including LLaMA, GPTNeoX, Replit, Falcon, MPT, and newer entrants like Gemma and Qwen. Beyond text-based models, LLM Farm incorporates multimodal capabilities through LLaVA 1.5, Obsidian, Bunny, and MobileVLM implementations, enabling image-text processing workflows. The app provides granular control through various inference parameters, sampling methods, and model setting templates, offering technical users substantial customization options for different use cases. User experience demonstrates both sophistication and complexity, with an interface designed for technical proficiency rather than casual use. Real-world usage patterns indicate primary engagement from developers testing model performance, researchers experimenting with local deployments, and privacy-conscious users seeking offline AI capabilities. The interface organizes models by architecture type and provides detailed configuration options, though some users report challenges with model discovery and download management during background operation. User feedback consistently highlights the app's technical capabilities while noting specific limitations. El Umm Jayy (November 9, 2024) praises the 'lots of options for running custom models' while requesting image upload functionality for vision models. Bmahze (March 11, 2025) acknowledges the groundbreaking nature of local model execution but notes RAM limitations on certain devices affecting newer model availability. Multiple reviewers including Endel.E (December 24, 2024) express desire for expanded model support, particularly for larger parameter models like Qwen. The application demonstrates notable strengths in technical implementation and model variety but faces constraints typical of mobile AI deployment. Hardware limitations particularly affect RAM-intensive models, and the current implementation lacks certain multimodal input capabilities that users frequently request. Ideal use cases include technical prototyping, privacy-sensitive applications, educational experimentation, and scenarios requiring reliable offline AI processing without internet connectivity.

Key Features

  • Multi-architecture model support encompassing 15+ LLM variants including LLaMA, Falcon, and newer models like Gemma and Qwen for comprehensive experimentation
  • Metal framework optimization leveraging Apple's GPU acceleration for improved inference performance on compatible iOS devices
  • Multimodal processing capabilities through LLaVA 1.5, Obsidian, and MobileVLM implementations enabling image-text analysis workflows
  • Advanced parameter customization offering various sampling methods and inference settings for precise model behavior tuning
  • Local model execution eliminating cloud dependencies and ensuring complete data privacy for sensitive applications
  • Template-based configuration system allowing users to save and reuse optimal model settings across different projects

Why Users Love It

Extensive model architecture support
Complete local processing privacy

Perfect for: Developers and researchers needing local LLM deployment on Apple devices

Screenshots

LLM Farm screenshot 1LLM Farm screenshot 2LLM Farm screenshot 3LLM Farm screenshot 4

User Reviews

Bmahze
Mar 12, 2025

Overall an amazing app. I really support allowing for anybody to grab models off huggingface and use them locally, but there are still a few issues: 1. Low RAM devices. I suspect certain models are being masked based on memory, but I dont see any newer models. Ive made and run some mamba/deepseek/qwen 3B param models locally with 4GB, so I know its possible. 2. audio models (speech to text, text to speech, and audio to audio) models are possible to run at low sample rates. The only other app I use for local language models is specifically because of this. 3. This is more long term, but I would like to see support for loading regular pytorch models (yaml/json for architecture, .pt/.pth for weights). All in all, this is a great app, even without any changes. Thank you!! Great, but… Overall an amazing app. I really support allowing for anybody to grab models off huggingface and use them locally, but there are still a few issues:1. Low RAM devices. I suspect certain models are being masked based on memory, but I dont see any newer models. Ive made and run some mamba/deepseek/qwen 3B param models locally with 4GB, so I know its possible.2. audio models (speech to text, text to speech, and audio to audio) models are possible to run at low sample rates. The only other app I use for local language models is specifically because of this.3. This is more long term, but I would like to see support for loading regular pytorch models (yaml/json for architecture, .pt/.pth for weights). All in all, this is a great app, even without any changes. Thank you!!

Carslov
Feb 22, 2024

iOS equivalent of draw things for LLM and not stable diffusion. Would love more settings tho and integration to the neural engine ect. And get the actual training to work So far best app for LLM iOS equivalent of draw things for LLM and not stable diffusion. Would love more settings tho and integration to the neural engine ect. And get the actual training to work

Endel.E
Dec 24, 2024

It's an excellent app. I hope it can add support for the Qwen large model. The best local LLM tool. It's an excellent app. I hope it can add support for the Qwen large model.

El Umm Jayy
Nov 9, 2024

This is great! Lots of options for running custom models. Would love to have the ability to upload images for vision models. Allowing models to perform web searches would be handy too! Phenomenal This is great! Lots of options for running custom models. Would love to have the ability to upload images for vision models. Allowing models to perform web searches would be handy too!

dropped adobe
Dec 31, 2023

Finally a locally run LLM that lets you import different models. The interface is nice and simple. The app runs well, 3b models are quick on the iPad mini 7, and it will even run 7b models, albeit slowly. Kudos to the developer. YES! YES! Finally a locally run LLM that lets you import different models. The interface is nice and simple. The app runs well, 3b models are quick on the iPad mini 7, and it will even run 7b models, albeit slowly. Kudos to the developer.

App Details

Developer

Artem Savkin

Platform

ios

Rating

4.3

Last Updated

9/7/2025