100% On-Device AI β€’ Up to 8B Parameters Supported β€’ Zero Cloud

Intelligence in your pocket.
Purely on-device.

Run quantized GGUF models (from lightweight 135M up to 8B parameters) directly on your smartphone NPU and GPU with native llama.cpp C++ bindings on background isolates. Absolute privacy, streaming tokens, multimodal generation, and zero data leaves your phone.

50+ Tokens/Sec (NEON SIMD)
0 KB Cloud Traffic
10,000+ Hugging Face Models
Android 8.0+ (minSdk 26)
Scroll to explore 3D journey ✦
SILICON REVELATION
Snapdragon NPU β€’ 48.2 t/s
libllama.so ARM64 SIMD 52.4 t/s
On-Device llama.cpp NEON Zero-Cloud
Thinkpocket AI Act 01 Thinkpocket AI Act 02 Thinkpocket AI Act 03 Thinkpocket AI Act 04
✦ ACT 01 // SILICON SOVEREIGNTY

Intelligence born directly on silicon.

No cloud servers. No API tokens. Thinkpocket AI executes quantized GGUF neural weights natively on Qualcomm Snapdragon NPU and ARM64 NEON vector registers.

|||| | ||| |||| | || ARM64-v8a β€’ NPU ACCELERATED
πŸ›‘οΈ ACT 02 // AIR-GAPPED PRIVACY

Absolute air-gap. 0 KB cloud leakage.

Pull out your SIM card. Turn on Airplane mode. Your conversations, confidential documents, and private memories stay encrypted in local SQLite on device.

|| | |||| | ||| |||| VERIFIED AIR-GAP β€’ 0 BYTES TRANSMITTED
⚑ ACT 03 // STREAMING VELOCITY

50+ Tokens per second continuous.

Zero network latency. Heavy inference runs on a background Flutter isolate connected to libllama.so via Dart FFI, locking your UI at a buttery 120Hz.

|||| | |||| | || ||| 120HZ PROMOTION β€’ 18MS TTFT
🎨 ACT 04 // MULTIMODAL HORIZON

Diffusion, speech & local embeddings.

Synthesize artwork with MobileDiffusion, transcribe offline voice with Whisper Tiny, and query your notes with Google EmbeddingGemma vector search.

||| || | |||| | |||| MOBILE DIFFUSION β€’ WHISPER β€’ RAG
01 PERSPECTIVE HARDWARE LAB

A New Angle of Mobile Intelligence. Pure Silicon Acceleration.

Thinkpocket_Studio_Walkthrough.mp4 120.0 FPS
✦ Snapdragon 8 Gen 3 (ARM64 NPU)
πŸ›‘οΈ 0 KB Cloud Leakage β€’ Air-Gapped
⚑ 50+ Tokens/Sec Native SIMD
πŸŽ›οΈ Q4_K_M GGUF Hardware Quantized
Snapdragon NPU β€’ 48.2 t/s
libllama.so Isolate 42.8 t/s
Thinkpocket executes models purely on-device with zero cloud traffic.
Streaming Google Gemma 2 2B token-by-token on CPU/NPU...
Thinkpocket AI App Interface
00:00.00 / 00:15.00
Scene Keyframes
ARM64 Token Stream
Motion Cursor

Interactive Video Walkthrough β€’ 1280x2856 Authentic Android Screen Captures from Thinkpocket AI

πŸš€ Scales Up to 8B Parameters On-Device πŸ‘‘ Llama 3.1 8B & Qwen 2.5 7B Flagships 🧠 Meta Llama 3.2 1B (Q4_K_M) ⚑ 42.8 Tokens/Sec Streaming 🎨 MobileDiffusion Tiny On-Device πŸ›‘οΈ 100% Air-Gapped Privacy 🧩 Google Gemma 2 2B Instruct 🎬 AnimateDiff Motion LoRA πŸ”Š Whisper Tiny Speech-to-Text πŸ’Ύ 0 KB Sent to Cloud πŸ” Hugging Face 10,000+ Models πŸ“ Pocket Vault Local SQLite πŸš€ Scales Up to 8B Parameters On-Device πŸ‘‘ Llama 3.1 8B & Qwen 2.5 7B Flagships 🧠 Meta Llama 3.2 1B (Q4_K_M) ⚑ 42.8 Tokens/Sec Streaming 🎨 MobileDiffusion Tiny On-Device πŸ›‘οΈ 100% Air-Gapped Privacy 🧩 Google Gemma 2 2B Instruct 🎬 AnimateDiff Motion LoRA πŸ”Š Whisper Tiny Speech-to-Text πŸ’Ύ 0 KB Sent to Cloud πŸ” Hugging Face 10,000+ Models πŸ“ Pocket Vault Local SQLite
AIR-GAPPED SILICON
02 LIVE INFERENCE RADAR

Experience on-device streaming without cloud latency.

See how Thinkpocket AI generates answers token-by-token using native llama.cpp isolates without waiting for a remote cloud server.

Stream Throughput 0.0 t/s
Tokens
0
TTFT Latency
0 ms
Allocated RAM
820 MB
thinkpocket_isolate_runner
FFI ISOLATE OK
Select a model & prompt spark, then tap "Stream Tokens" to witness instantaneous on-device inference telemetry.
Native Engine: libllama.so (ARM64-v8a NEON) Air-Gapped
DART ISOLATE WORKER
03 ARCHITECTURAL SOVEREIGNTY

Power and absolute air-gapped privacy without compromise.

Every layer of Thinkpocket AI is architected from clean C++ bindings to dedicated Flutter Isolates for buttery-smooth mobile execution.

Native Fllama & llama.cpp Engine

Dedicated Dart Isolate & JNI Architecture

Heavy LLM inference runs on a background isolate thread wired directly to libllama.so and official fllama JNI bindings. Features asynchronous FIFO memory lockingβ€”strict single-model invariant, zero memory leaks, and locked 120Hz Flutter UI.

UI Thread (Flutter 120Hz)
↓ Background Isolate Channel ↓
Isolate Thread (Fllama & C++)
Absolute Privacy

Zero Telemetry. Zero Cloud.

Turn on Airplane Mode. Pull out your SIM card. Thinkpocket AI continues answering with zero loss of functionality. No analytics SDKs, no external servers, no subscriptions.

πŸ›‘οΈ Verified Air-Gapped
Multimodal Studio

Diffusion, Motion & Speech

Generate images with MobileDiffusion Lite, synthesize procedural video loops with AnimateDiff, and transcribe neural speech with Whisper Tiny on-device.

Text-to-Image Text-to-Video Whisper Audio
Hugging Face Direct

1-Tap GGUF Explorer

Directly explore and download thousands of open models from Hugging Face. Includes background downloading with pause/resume and chunk integrity verification.

HF Search: Qwen, Llama, DeepSeek, Gemma, Whisper
Private Knowledge Vault

Offline Contextual RAG

Store notes, research, and confidential documents in SQLite with Drift. Attach docs directly to your chat context for pinpoint semantic question answering.

🧩 EmbeddingGemma 2 Vector Search
Private Neural Audio

Offline Voice Notes & Whisper

Record voice memos with live amplitude waveforms and on-device playback. Transcribe speech into text locally with Whisper Tiny without cloud processing.

πŸŽ™οΈ Zero Cloud Audio Leaks
120HZ COMPONENT DYNAMICS
04 PROCEDURAL MOTION WORKSHOP

Design in motion. Hardware accelerated 120Hz ProMotion animation.

Experience true Jitter-grade animation curves directly in your browser. Choose an on-device UI component and trigger hardware-accelerated spring animations.

CSS Easing Curve: cubic-bezier(0.34, 1.56, 0.64, 1)
Hardware Render: GPU transform3d Compositor
Target FPS: 120Hz ProMotion Native
πŸ’¬
Thinkpocket AI β€’ Gemma 2 2B
0.0ms Cloud Latency

"Quantum entanglement allows particles to share states instantaneously across arbitrary physical distances."

Tokens: 38 ⚑ 52.4 t/s
Curated GGUF Model Presets

Optimized for your hardware.
From 95MB up to 8B Parameters.

Thinkpocket AI features pre-configured GGUF models tailored for smartphone RAM capacities, with smart memory safety validation before loading.

135M Params Q4_K_M β€’ ~95 MB

SmolLM2 135M Instruct

Ultra-compact language model. Instantaneous inference and negligible memory footprint, ideal for low-spec phones.

Rec. RAM: 1.0 GB ⚑ ~88 Tokens/s
360M Params Q4_K_M β€’ ~245 MB

SmolLM2 360M Instruct

Balanced small model for reasoning, concise answers, and exceptional battery conservation during extended chat.

Rec. RAM: 2.0 GB ⚑ ~72 Tokens/s
0.5B Params Q4_K_M β€’ ~398 MB

Qwen 2.5 0.5B Instruct

High quality multilingual fluency, math reasoning, and coding syntax in a sub-billion parameter package.

Rec. RAM: 2.5 GB ⚑ ~64 Tokens/s
1.2B Params Q4_K_M β€’ ~820 MB

Meta Llama 3.2 1B

Meta's specialized mobile model with superior natural dialogue, structured output formatting, and prompt following.

Rec. RAM: 4.0 GB ⚑ ~42 Tokens/s
2.6B Params Q4_K_M β€’ ~1.6 GB

Google Gemma 2 2B

Google DeepMind's flagship conversational model for deep knowledge questions, essay writing, and analytical tasks.

Rec. RAM: 4.0 GB ⚑ ~31 Tokens/s
1.5B CoT Reasoning Q4_K_M β€’ ~1.04 GB

DeepSeek-R1 Distill 1.5B

DeepSeek-R1 distilled reasoning model with Chain-of-Thought (CoT) multi-step thinking. Solves logic, coding puzzles, and math step-by-step.

Rec. RAM: 5.0 GB 🧠 Chain-of-Thought (~40 t/s)
1.5B Params Q4_K_M β€’ ~986 MB

Qwen 2.5 1.5B Instruct

Alibaba's powerhouse small LLM with exceptional coding syntax, mathematics, and logical multi-turn dialogue on mobile NPUs.

Rec. RAM: 4.5 GB ⚑ ~45 Tokens/s
3.2B Params Q4_K_M β€’ ~1.88 GB

Meta Llama 3.2 3B

Meta's flagship mobile 3B parameter model offering state-of-the-art multilingual conversation, rich summarization, and task orchestration.

Rec. RAM: 6.0 GB ⚑ ~28 Tokens/s
3.8B Params Q4_K_M β€’ ~2.23 GB

Phi-3.5 Mini 3.8B

Microsoft's high-tier reasoning powerhouse with 128k context support, superb mathematical deduction, and deep logic synthesis.

Rec. RAM: 8.0 GB ⚑ ~24 Tokens/s
πŸ‘‘ 6.0B Flagship Q4_K_M β€’ ~3.28 GB

01-AI Yi 6B Chat

Desktop-grade 6B parameter bilingual model delivering deep scientific reasoning, encyclopedic domain knowledge, and comprehensive coding on flagship mobile hardware.

Rec. RAM: 8.0 GB–12.0 GB πŸš€ 6B Heavyweight (~21 t/s)
πŸ‘‘ 8.0B Flagship Apex Q3_K_M β€’ ~4.01 GB

Meta Llama 3.1 8B Instruct

Meta's industry-standard 8B foundation model executing natively in smartphone silicon. Features massive 128k context support, state-of-the-art multilingual knowledge, and desktop-grade reasoning with zero cloud traffic.

Rec. RAM: 10.0 GB–12.0 GB πŸš€ 8B Apex (~16 t/s)
πŸ‘‘ 7.6B Flagship Max Q3_K_M β€’ ~3.55 GB

Qwen 2.5 7B Instruct

State-of-the-art 7.6B parameter foundation model running directly in smartphone silicon. Superlative code generation, deep multi-step reasoning, and complex math with zero cloud roundtrips.

Rec. RAM: 10.0 GB–12.0 GB πŸš€ 7B Flagship (~18 t/s)
🧠 7.6B Full CoT Q4_K_M β€’ ~4.36 GB

DeepSeek-R1 Distill 7B

Full-precision 7B reasoning foundation model with exhaustive Chain-of-Thought thinking. Unlocks graduate-level STEM deduction directly on high-RAM mobile silicon.

Rec. RAM: 11.0 GB–12.0 GB πŸ”¬ Max Precision (~16 t/s)
⚑ 7B DiT Offline Q2_K GGUF β€’ ~2.46 GB

Qwen-Image 2.1 Turbo

Alibaba's state-of-the-art 7B Image Diffusion Transformer quantized by Unsloth. Delivers breathtaking on-device text-to-image generation, typography, and anime art with zero cloud latency.

Rec. RAM: 6.0 GB+ πŸ”₯ 7B Diffusion DiT
520M Params Q4_0-GGUF β€’ ~468 MB

MobileDiffusion Lite

Sub-second mobile on-device latent diffusion UNet for instant artistic illustration and photo synthesis.

Rec. RAM: 3.0 GB 🎨 Latent Diffusion
110M Params FP16 β€’ ~111 MB

MobileDiffusion Tiny

Ultra-lightweight on-device diffusion UNet for instant thumbnail synthesis and ultra-low battery consumption.

Rec. RAM: 2.0 GB ⚑ ~111 MB Tiny UNet
74M Params FP16 β€’ ~74 MB

AnimateDiff Motion LoRA

Procedural open video motion module for rendering cinematic camera zooms and animated looping sequences.

Rec. RAM: 2.0 GB 🎬 Motion LoRA
450M Params FP16 β€’ ~1.73 GB

AnimateDiff Motion Lite

Smooth multi-frame motion module for rendering continuous looping video sequences directly on mobile GPUs.

Rec. RAM: 3.0 GB 🎬 Multi-Frame Motion
39M Params Q5_1 β€’ ~75 MB

Whisper Tiny Speech

Ultra-fast on-device neural voice transcription and speech comprehension without sending audio to remote APIs.

Rec. RAM: 1.0 GB πŸ”Š Offline Audio
740M Params Q4_K_XL β€’ ~175 MB

EmbeddingGemma 2

State-of-the-art vector embedding model for high-accuracy semantic search, private document chunking, and local RAG.

Rec. RAM: 2.0 GB 🧩 Local Embeddings
ON-DEVICE SOVEREIGNTY
05 TACTILE COMPONENT SYSTEM

Crafted with serene aesthetics and tactile glassmorphic refinement.

Experience our pastel glassmorphic design system with haptic feedback, real-time speed badges, and intuitive model switching.

Thinkpocket AI Screen Tour
01

Serene Chat & X Design Language

Daylight sky glassmorphism with X-style post actions (Like, Bookmark, TTS voice readout, Regenerate, Delete), double checkmarks (βœ“βœ“), prompt spark chips (Live Web: OFF, Explain simply, 3 Bullets), and live word/token estimation in local SQLite.

02

Hugging Face GGUF Search

Direct in-app Hugging Face Search & explorer for Qwen, SmolLM, Llama, DeepSeek, and Whisper. Download GGUF models in the background with automatic RAM safety verification.

03

3-Engine Multimodal Studio

Choose between 100% Offline Latent Diffusion (Qwen-Image 2.1 Turbo 7B DiT, MobileDiffusion Lite), Local SLM Vector SVG Synthesis with live code view, and Cloud FLUX. Includes Text-to-Video with AnimateDiff Motion LoRA and 1:1, 9:16, 16:9 aspect ratios.

04

Creation Bottom Sheet

Tactile bottom-sheet studio interface with modality toggles, negative prompts, resolution aspect ratios, and seed generation.

05

Unlimited Local AI & Telemetry

Real-time on-device telemetry verifying 100% local execution (0 KB transmitted). Features Unlimited Local AI with ZERO LIMITS, no token caps, AVX2 acceleration, multi-core CPU tuning, and 0 MB RAM startup memory guarantee.

06

Pocket Vault & 384-D Vector RAG

Store encrypted notes, code snippets, and chat summaries with automatic categorization. Built-in Private Vector DB with 384-Dimensional Cosine Index for 100% offline semantic retrieval and 1-tap "Chat with Doc".

06 PARADIGM SHIFT

Thinkpocket AI versus legacy cloud AI. Sovereign intelligence.

Compare why true on-device processing represents the future of personal privacy and computational autonomy.

Feature Thinkpocket AI Cloud AI Apps (ChatGPT / Claude)
Data Privacy 100% On-Device (0 KB sent) Sent to third-party data centers
Subscription Cost $0 Forever (Free & Open Source) $20 – $200 / month recurring
Internet Connection Never Required (Air-Gapped) Fails completely without internet
Model Selection Any GGUF model on Hugging Face Vendor locked to single model family
Data Retention & Training Never trained on, never logged Stored on servers for model retraining
Censorship & Outages Zero downtime, zero external filtering Subject to server downtime and rate limits
Under The Hood

Precision engineering.
From C++ to Dart.

Clean Architecture separation across presentation, domain, and native C++ runtime.

Native Bindings
llama.cpp via FFI

Compiled using Android NDK 28 with CMake. Leverages ARM64-v8a NEON SIMD vector extensions for ultra-fast on-device matrix multiplication.

Concurrency
Dart Background Isolate

All token generation occurs on an isolated memory thread. Zero UI blocking or frame dropping on 120Hz displays.

Local Database
Drift SQLite Engine

Full local session persistence, token analytics, audit logs, and document chunk storage completely offline in encrypted SQLite.

Hardware Compatibility
Android 8.0+ (API 26)

Targeted to API 36 with 64-bit ABI support. Dynamically checks available RAM to prevent Out-Of-Memory (OOM) crashes.

Answers & Clarity

Frequently Asked Questions

Everything you need to know about running Thinkpocket AI on your phone.

Thinkpocket AI Logo
Google Play Release β€’ Coming Soon

The next era of mobile AI
is almost here.

Thinkpocket AI is currently preparing for official release on the Google Play Store. 100% on-device neural inference, zero subscription fees, and complete air-gapped privacy.

Android 8.0+ (API 26+) β€’ 64-bit ARM (ARM64-v8a) β€’ Qualcomm Snapdragon NPU & GPU Acceleration β€’ Coming Soon on Google Play