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Tether’s QVAC Launches BitNet LoRA Framework to Run Billion-Parameter AI on Consumer Devices

TLDR: Tether’s QVAC Fabric introduces the world’s first cross-platform LoRA fine-tuning for BitNet models. A 1B-parameter model can be fine-tuned on a Samsung S25 in just 1 hour and 18 minutes on-device. BitNet-1B uses up to 77.8% less VRAM than Gemma-3-1B, cutting memory needs across consumer hardware. The framework extends LoRA fine-tuning beyond NVIDIA to [...]

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Source: Blockonomi →