Bring LLMs to Mobile, Simplify Complex Optimization

Run large language models on iOS and Android devices. Manage the entire process from quantization to deployment in one unified platform.

2+
Supported
Platforms
84%
Max Size
Reduction
98%+
Quality
Retention
Dashboard
Models
Quantization
Analysis
Settings
2.4GB
Original
620MB
Optimized
98.5%
Quality
Try Demo Visit OptAI
Challenge

Why is On-Device AI So Difficult?

Challenges to overcome when running LLMs on mobile devices

01

Complex Quantization Pipeline

GPTQ, QAT, Mixed Precision... Each model requires different configurations

02

Platform-Specific Workflows

iOS and Android each require different conversion tools and workflows

03

Quality vs Size Trade-off

Reducing model size degrades accuracy, making it hard to find the optimal point

04

Repetitive Manual Work

Every configuration change requires running long commands in the terminal

Solution

GenKit Solves All the Complexity

Handle all optimization tasks in one unified platform

Unified Platform

Unified Platform

Manage Qualcomm (Android) and Apple ANE (iOS) conversions from a single dashboard. One-click setup to monitoring.

Auto Optimization

Auto Optimization

Just enter your target model size and Automatic Mixed Precision finds the optimal quantization settings. No more manual layer-by-layer bitwidth adjustments.

Real-time Analysis

Real-time Analysis

Visualize quantization error (MSE), per-layer memory usage, and GPTQ errors to intuitively understand model quality.

Platform Support

Multi-Platform, One Workflow

Unified conversion pipeline supporting both iOS and Android

Qualcomm

Qualcomm

Snapdragon 8 Gen 2/3 | Android
  • ▪AIMET Quantization
  • ▪QNN SDK Integration
  • ▪Mixed Precision Support
  • ▪DLC Model Generation
Apple

Apple Neural Engine

iPhone / iPad / Mac
  • ▪CoreML Conversion
  • ▪GPTQ / LUT Quantization
  • ▪Mixed Precision Support
  • ▪mlpackage Generation

Supported Model Architectures

Workflow

Mobile LLM in 4 Steps

Complex optimization process made simple

Select Model

Select Model

Enter HuggingFace model ID or local path

Configure Platform

Configure Platform

Set target platform, device, and context length

Run Quantization

Run Quantization

Optimize with Automatic or Custom mode

Deploy

Deploy

Deploy DLC/mlpackage model to device

Performance

Proven by Real Performance

Verified optimization results across various models

Model Original Size Optimized Size Reduction Quality Retained
LLaMA 3.2 1B 2.4 GB 620 MB 74% 98.5%
EXAONE 4.0 5.8 GB 950 MB 84% 97.8%
Qwen 2.5 3B 6.2 GB 1.2 GB 81% 98.2%
LLaMA 3.2 1B
Original Size
2.4 GB
Optimized
620 MB
Size Reduction
74%
Quality Retained
98.5%
EXAONE 4.0
Original Size
5.8 GB
Optimized
950 MB
Size Reduction
84%
Quality Retained
97.8%
Qwen 2.5 3B
Original Size
6.2 GB
Optimized
1.2 GB
Size Reduction
81%
Quality Retained
98.2%
Architecture

Proven Technology Stack

Stable and scalable architecture

Model Adaptation for On-Device Inference

✓  Static Shape Handling
✓  Layer Structure Optimization
✓  KV Cache Adaptation
✓  Position Embedding Preprocessing

Get Started Today

Complex mobile LLM optimization made simple with GenKit

Start for Free Visit OptAI