QuantForge 2.0 — Pixel Forge Edition

🚀 QuantForge 2.0 — Pixel Forge Edition

QuantForge 2.0 expands the original on-device AI benchmarking toolkit with a new Model Compatibility Advisor, developed for the Pixel Forge AI Hackathon 2026.

🧠 New: Model Compatibility Advisor

Search or select an open-source AI model and QuantForge analyzes whether it can realistically run on your Android device.

The Advisor provides:

• 0–100 compatibility score
• EXCELLENT / GOOD / POSSIBLE / LIMITED / NOT RECOMMENDED status
• Automatic Android hardware detection
• System RAM and CPU analysis
• Model memory estimation
• FP16, Q8, Q6, Q5 and Q4 comparison
• Recommended quantization
• Recommended context configuration
• Local inference guidance
• Smaller compatible model alternatives
• Offline deterministic explanations

📱 Native Android Integration

The Model Compatibility Advisor is integrated directly into the existing QuantForge Android application.

The original QuantForge dashboard and benchmarking workflow remain available.

Flow:

QuantForge Home → Model Compatibility Advisor → Model Analysis → Recommendation

⚡ Existing Features Preserved

• FP32 on-device benchmarking
• INT8 on-device benchmarking
• MobileNetV3 benchmark engine
• CPU thread auto-tuning
• Benchmark comparison
• Hardware telemetry
• Benchmark JSON export
• QuantForge Lab
• Light/Dark themes

🌐 Web Model Advisor

QuantForge 2.0 also includes a web-based Model Compatibility Advisor for cross-platform hardware and model analysis.

🔒 Offline-First

The core Android compatibility engine works without an AI API key and does not require an internet connection for models included in the local catalog.

🏆 New for Pixel Forge 2026

The following capabilities were developed as the new Pixel Forge functionality:

• Model Compatibility Advisor
• Hardware-aware compatibility scoring
• Quantization recommendation engine
• Model memory estimation
• Smart alternative-model recommendations
• Native Android Advisor interface
• Web compatibility interface
• AI-assisted technical explanations

The original QuantForge benchmarking engine predates this release and remains preserved.

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📦 Download

Download:

QuantForge-v2.0.0-PixelForge.apk

Android may ask permission to install applications from your browser/file manager.

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Version: 2.0.0
Platform: Android
License: MIT

QuantForge v1.0.0 — Arm AI Auto-Tuning Benchmark

Description:
First public release of QuantForge.

Highlights:

• Real FP32 vs INT8 benchmarking on Arm64 Android
• Automatic 1 / 2 / 4 CPU-thread tuning
• MobileNetV3-Small optimization
• 71.6% model-size reduction measured
• Best INT8 configuration achieved 8.55 ms median latency on OPPO CPH2591
• 37.5% lower median latency than the best FP32 configuration
• Dark and light themes
• QuantForge Lab developer tools