Análisis de la app Offline Private AI Library para 26 de enero

Offline Private AI Library lets you run modern large language models completely offline on your device. Browse curated MLX-compatible Hugging Face repos, download models with pause/resume, and chat in a clean SwiftUI workspace—no accounts, no telemetry, and no internet required after install. Why offline? • Your prompts, responses, and custom prompts never leave your device. • Works in airplane mode once a model is downloaded to disk. • Perfect for sensitive research, travel, or teams with strict data policies. Download and manage MLX models • Curated Qwen, Llama, Phi, and coder variants grouped by use case, with size and language indicators. • Save your own Hugging Face repo IDs or open Hugging Face in-app to grab new ones. • Resume interrupted downloads and get reminder alerts to keep the app open during large installs. • Delete models with a single swipe to reclaim storage. Chat smarter • Markdown conversation view with headings, lists, and code blocks. • Quick suggestion starters to kick off new chats. • Share or export conversations to Markdown with timestamps. • Stop and resume streaming while a response is generating. • Copy individual replies and delete specific rows from history. • Inline status banners show when a model is loading or busy. • Optional safety disclaimer to keep expectations grounded. Tune it your way • Theme and accent color customization. • Prompt profiles for reusable system and starter prompts. • Forced language: Auto, English, or Russian. • Controls for temperature, top-p, max tokens, context window, and repetition guard. • Reset parameters back to defaults at any time. On-device processing • Powered by MLX and LocalLLMClient for local inference. • After download, all model runs stay offline—no cloud calls. • System info view shows RAM usage and entitlement status so you know which models fit your device. Offline Private AI Library is a tool for experimentation and learning. It is not a replacement for professional advice and may produce incorrect or outdated information.