Ultra-Low Bit Quantization for On-Device Intelligence
title: On Device Quantization V4 Analysis created: 2026-05-27 updated: 2026-05-27 type: concept tags: [research, whitepaper] sources: [raw/papers/on-device-quantization-v4.md]
On Device Quantization V4
🎯 The Core Thesis
2-bit quantization of 70B models is viable for daily tasks without catastrophic intelligence loss.
💡 The Innovation
Uses ‘Selective Bit-Preserving’ where key attention heads remain at 4-bit while others drop to 1.5-bit.
📈 Key Results
Llama-4-70B running on 16GB VRAM with only 3% performance degradation.
🌍 Implications
True ‘Local AI’ that doesn’t require cloud API for reasonable reasoning.
⚖️ Verdict
Medium Impact.