●builderYou can now run a frontier-class open model locally on high-RAM Apple Silicon hardware — viable for air-gapped or cost-sensitive inference workloads.
●researcherThe 82% accuracy retention at 84% size reduction via aggressive quantization is a concrete data point for evaluating BitNet-style compression tradeoffs on very large models.