Llama.cpp Edge Gallery AI came out 87 days ago. It is a niche app, with 1.8 thousand installs. It doesn't have enough ratings yet to judge what users think.
Llama.cpp Edge Gallery AI is made and published by
FreeRouter Team.
AppBrain is an independent app data site and isn't affiliated with FreeRouter Team.
The app name, icon, screenshots and description belong to FreeRouter Team and are shown as
published on Google Play.
About Llama.cpp Edge Gallery AI
Llama.cpp Edge Gallery AI is a productivity app developed by FreeRouter Team.
Install Statistics
Llama.cpp Edge Gallery AI has been installed 1.8 thousand times. In the last 30 days, the app was installed 490 times.
User Ratings
Llama.cpp Edge Gallery AI is rated 4.00 out of 5 stars. The rating is based on 24 ratings.
App Information
Llama.cpp Edge Gallery AI is freely available from Google Play. The app size is 18.78 MB. The latest version available is 1.7.1. The last update was on October 5, 2026.
Technical Requirements
The app has a content rating of Everyone. The app has been available on Google Play since July 2026.
Description by FreeRouter Team(from Google Play)
Run capable AI models directly on your Android phone with Llama.cpp Offline AI—the ultimate private, local LLM solution built for on-device performance.
Download a compatible GGUF model, load it once, and start chatting locally with CPU-first inference. Your prompts and generated responses stay strictly inside the app's local chat flow instead of being sent to a cloud AI service. Enjoy total data privacy, zero subscription fees, and complete control over your on-device AI experience.
โก Why Choose Llama.cpp Offline AI?
• ๐ Private AI Chat: Run your offline chatbot completely air-gapped. No account required, no sign-ups, no data harvesting, and no cloud processing. • โก Fast Local LLM Performance: Powered by llama.cpp to deliver optimized, efficient on-device AI directly on mobile hardware. • ๐ GGUF Management: Effortlessly download, store, and organize GGUF model files directly within the app. • ๐ฌ Real-Time Token Streaming: Watch your offline AI stream responses line-by-line as the LLM generates answers in real time. • โ๏ธ CPU LLM Thread Controls: Fine-tune thread settings to balance model speed, battery usage, and device thermal states. • ๐ Benchmark Screen: Measure performance, compare token generation speeds (tok/s), and optimize settings across different GGUF quantizations. • ๐ก Smart Chat Features: Enjoy quick-start prompts for empty chats, collapsible thinking sections, and bold response highlights. • ๐พ RAM Guidance: Clear indicators help you choose the right model size and quantization level for your specific phone RAM capacity. • โญ Favorites & Organization: Bookmark your favorite GGUF models, monitor active downloads, and switch between models seamlessly.
๐ฑ Built for Real Android Hardware
Llama.cpp Offline AI is engineered to bring practical, lightweight Android AI to modern smartphones. Running large language models on mobile devices requires smart memory management, which is why this app focuses on quantized GGUF models tailored for phones with varied RAM capacities.
CPU inference serves as the stable default across Android devices, preventing overheating while delivering predictable output speed. Actual generation speeds depend on your phone processor, available RAM, thermal state, model parameter size (such as 1B, 3B, or 7B models), and quantization type (e.g., Q4_K_M, Q5_K_M).
๐ Everyday Applications for Local AI
Take your private AI assistant everywhere you go. Because Llama.cpp Offline AI requires no internet connection once your model is loaded, you can use it on airplanes, in remote areas, or anywhere you need instant offline intelligence:
• โ๏ธ Creative Writing: Draft emails, refine prose, outline essays, and brainstorm creative stories entirely offline. • ๐ Summarization & Study Tools: Paste long text to create concise summaries, flashcards, and study guides. • ๐ Off-Grid Translation: Translate text across multiple languages without relying on web-based translation APIs. • ๐ป Code Assistance: Analyze code snippets, debug logic errors, and write simple functions on the go using specialized coding GGUF models. • ๐ง Private Brainstorming: Ask sensitive questions or explore new concepts with zero fear of data logging. • ๐งช On-Device AI Experiments: Test different quantized LLM architectures, compare llama.cpp optimizations, and explore open-weight model capabilities.
โ๏ธ Model Responsibility & Licensing
All language models accessed through or loaded into the app are provided by third-party authors or hosting platforms (such as Hugging Face). Users are responsible for reviewing and adhering to each model's license and usage terms prior to downloading. Llama.cpp Offline AI is an independent client interface and does not claim ownership of third-party models.
๐ฉ Support & Feedback
Email: contact@shannsingh.com
Recent changes: • Smoother chat: you can scroll freely while a reply is being written, and replies no longer get stuck. • Offline tools work: ask about battery, storage, the time or do sums. • Attach PDFs and text files to your message. • Each chat keeps its own unsent draft. • Faster replies on most phones and clearer, more complete answers. • Safer downloads: models are checked after download. • Stability and performance fixes.
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