4-bit Quantization2 The iPhone 16 Pro Max's AI Crisis: Why Your $1500 Phone Can't Do Basic Math Key Takeaways:The iPhone 16 Pro Max and its A18 Pro chip are experiencing a significant MLX LLM accuracy crisis, with models producing 'garbage' output, especially in 4-bit quantized formats.Despite high inference speeds, the A18 Pro's Neural Engine shows critically low accuracy for arithmetic, factual recall, and instruction following, undermining developer trust.The community points to undocum.. 2026. 2. 2. NVIDIA's 4-Bit Revolution: The 2026 Definitive Guide to 'Lossless' AI Compression Key Takeaways: NVIDIA's 4-bit QuantizationUnprecedented Compression: NVIDIA's new AQFB technique achieves near-lossless 4-bit quantization, retaining 99.4% of FP16 accuracy on benchmarks.Massive VRAM Savings: This translates to a 4x reduction in VRAM for model weights, making large models accessible on consumer GPUs like the RTX 4090.Democratizing AI: Lower hardware barriers enable individual de.. 2026. 1. 30. Prev 1 Next 반응형
