Personal GPT
Personal GPT is a versatile AI chatbot designed specifically for Apple devices running on iOS and macOS platforms. This tool provides offline functionality, ens...
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What is Personal GPT?
Personal LLM (marketed as ‘Private LLM’ on personalgpt.app) is an on‑device AI chat app that runs entirely locally on iPhone, iPad, and Apple Silicon Macs, with no cloud calls after the first model download. It offers uncensored, private chat powered by a wide range of open‑source models such as DeepSeek R1 Distill, Llama 3.3 70B, Qwen3 4B, Gemma 3, and others, all quantized in‑house to run efficiently on Apple hardware. All conversations and data stay on the user’s device, and there are no accounts, tracking, or server‑side logs, making it a privacy‑first alternative to cloud‑based chatbots.
The app is designed around a rich catalog of downloadable models tailored to specific RAM tiers, so users can pick a model that fits their iPhone, iPad, or Mac (from 4 GB‑RAM phones up to 64 GB‑RAM Macs). Alongside the chat interface, it includes built‑in writing tools for macOS that let you select text in any app and rewrite, summarize, or correct it directly on‑device. The experience is integrated into the Apple ecosystem via Siri and Apple Shortcuts, enabling no‑code workflows that pipe AI responses into dozens of other apps using x‑callback‑url.
Personal LLM is aimed at privacy‑conscious individuals, power users, developers, and knowledge workers who want flexible, uncensored AI without sending sensitive inputs to the cloud. It suits people who already own Apple hardware and are comfortable managing model downloads, as well as those who want to experiment with multiple open‑source models locally instead of relying on a single cloud provider. Its emphasis on locally quantized, on‑device‑only operation also makes it attractive to users who need to avoid data‑leakage constraints (e.g., in regulated industries or security‑sensitive contexts).
Personal GPT pricing
Pricing model: Paid
Personal LLM is sold as a one‑time purchase via the App Store, with no subscription. The same purchase unlocks the app on iPhone, iPad, and Mac, and it also works within a Family Sharing group for up to six users. There is no separate free tier or freemium model; instead, the app is paid upfront with full access to all local models and features, including the on‑device macOS writing tools and Siri/Shortcuts integration.
Personal GPT pros
- Runs entirely on‑device with no cloud calls after model download
- No accounts, tracking, or logs required
- Supports multiple leading open‑source models (DeepSeek, Llama 3, Qwen3, Gemma 3, etc.)
- Many models available in uncensored variants
- One‑time purchase unlocks the app on iPhone, iPad, and Mac
- Family Sharing support for up to six users
- Tight integration with Siri and Apple Shortcuts for no‑code workflows
- On‑device macOS writing tools that work with any app’s selected text
- Advanced quantization (OmniQuant and GPTQ) for better output quality
- Optimized Metal kernels for faster inference on Apple Silicon
- Wide range of specialized models (coding, therapy/role‑play, biomedical, survival, creative writing)
- Model recommendations tuned to device RAM (4 GB, 6 GB, 8 GB, 16 GB, 32 GB, 48 GB, 64 GB)
- No subscription lock‑in or recurring fees
- Built by independent EU engineers without VC funding
- Transparent focus on privacy and distrust of cloud‑based AI services
Personal GPT cons
- Requires large model downloads that consume significant storage space
- Performance depends heavily on device RAM and Apple Silicon tier
- Some advanced models only usable on high‑memory Macs (e.g., 48 GB, 64 GB)
- No cross‑platform support for Windows, Android, or Linux
- No native web‑based UI; only local app usage
- No built‑in cloud backup or sync of chat history between devices
- Advanced model selection and configuration may overwhelm casual users
- Limited support for languages beyond English and major Western European languages
Frequently asked questions about Personal GPT
Is Personal LLM really private and offline?
Yes. Personal LLM runs entirely on your iPhone, iPad, or Mac, and your conversations never leave the device after the first model download. There are no accounts, no tracking, and no logs stored on any server; the app works without an internet connection once the model is downloaded to your device.
Which models does Personal LLM support?
The app supports a large catalog of open‑source models including DeepSeek R1 Distill, Llama 3.3 70B, Qwen3 4B, Gemma 3, Phi‑4, Phi‑3 Mini, Llama 3.2 1B/3B/8B, Mistral 7B, Mixtral 8x7B, CodeLlama, stableLM, TinyLlama, and many more, with uncensored variants and domain‑specific variants (coding, therapy/role‑play, biomedical, survival, creative writing) for both iOS and macOS.
What devices and RAM requirements does it need?
Personal LLM offers model sets for iPhones and iPads with 4 GB RAM or more and Apple Silicon Macs with 8 GB RAM or more, with higher‑end models requiring 16 GB, 24 GB, 32 GB, 48 GB, or 64 GB RAM. The site provides explicit RAM thresholds for each model so you can pick one that fits your device.
Do I need an internet connection after downloading a model?
No, once a model is downloaded to your device, you can use Personal LLM fully offline. The app does not phone home with your prompts or responses, and all chat computation happens locally on your iPhone, iPad, or Mac.
How does Personal LLM handle privacy and data?
Personal LLM stores conversations only on your device, with no account system, no tracking, and no server‑side logs. The developers emphasize that your data stays on‑device and always will, and they do not collect or transmit your inputs or responses to any external service.
Can I use it with Siri and iPhone automation?
Yes. Personal LLM plugs into Siri and Apple Shortcuts, letting you build no‑code workflows that invoke the AI from voice commands or other apps. These workflows can summarize text, generate writing, or pipe AI responses into other apps that support the x‑callback‑url specification.
How do the macOS writing tools work?
On macOS, you can select any text in any app, right‑click, and use Personal LLM to rewrite, summarize, or correct the selection entirely on‑device. The tool supports English and major Western European languages, and no text is sent to the cloud.
Why does it use OmniQuant and GPTQ quantization?
The app uses its own OmniQuant and GPTQ quantization methods to minimize quantization error on outlier weights, which improves text‑generation quality compared with standard RTN quantization used in many MLX or llama.cpp wrapper apps. Paired with optimized Metal kernels, this allows faster, higher‑quality local inference on Apple hardware.
Is there a subscription or only a one‑time fee?
Personal LLM is offered as a single‑purchase app with no recurring subscription. The same purchase unlocks the app on iPhone, iPad, and Mac, and it also leverages Apple’s Family Sharing to cover up to six users, so you pay once and get cross‑device access without paying monthly fees.
Who is building this app?
Personal LLM is built by two EU‑based engineers who are bootstrapped and not VC‑funded. They focus on delivering privacy‑first, on‑device AI rather than growth‑driven features, and they explicitly state that user data will remain on‑device and never be exposed to external investors or cloud‑based tracking systems.