Anemll

Anemll / Flash-iOS

Public

Flash-MoE iOS — Run massive MoE models on iPhone

45
5
100% credibility
Found Apr 04, 2026 at 45 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Objective-C
AI Summary

An iOS app for running large AI language models locally on iPhones, with built-in model downloader and chat interface.

How It Works

1
📱 Get Flash-MoE on your iPhone

Download and install the app that lets you chat with powerful AI right on your phone.

2
🔍 Browse ready-to-use AI brains

Open the app and see a list of smart models you can download with one tap.

3
Pick your model size
⚡
Small & speedy

Fast responses on everyday questions.

🧠
Large & powerful

Handles complex topics like a pro.

4
⏳ Download happens automatically

Tap download and relax—the app grabs everything in the background with a progress bar.

5
💬 Start chatting

Type your first message and watch the AI respond word by word.

6
📊 See it think and perform

Check live stats like speed and memory while it generates answers.

🚀 AI in your pocket anywhere

Enjoy private, lightning-fast conversations without internet or cloud.

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Star Growth

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AI-Generated Review

What is Flash-iOS?

Flash-iOS brings Flash-MoE to iPhone, enabling you to run massive MoE models like Qwen3.5-397B directly on-device via a SwiftUI chat app. Copy models over USB with progress tracking, download pre-packed variants from Hugging Face, or scan local files—handles tiered quantization and fanout I/O for smooth inference. Built in Objective-C for the Metal engine, it delivers on-device LLM chats without servers.

Why is it gaining traction?

It crushes 397B models on iPhone 15 Pro hardware using memory entitlements and parallel expert reads, hitting playable tok/s with a live profiler for memory, CPU, and thermals. Flash-MOE GitHub roots mean plug-and-play with quantized iOS flash tools—no repacking hassles. Devs love the USB copy script and model manager for quick flash-iOS testing.

Who should use this?

iOS devs building local AI apps, ML researchers benchmarking MoE on A-series chips, or iPhone tinkerers flashing massive models offline. Perfect for iPad/iPhone users dodging cloud latency, especially with iOS 16 flash constraints or hybrid flash-iOS on Android curiosity.

Verdict

Promising iOS flash tool for Flash-MoE GitHub fans, but 44 stars and 1.0% credibility signal early days—light docs, no tests. Try on beefy iPhones if you want massive models running locally now; expect tweaks for prod.

(198 words)

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