Tether launches BitNet LoRA framework for fine-tuning large models on consumer devices

On March 21, Tether announced its BitNet LoRA framework, which optimizes 1-bit LLMs for efficient training and inference on consumer-grade hardware.

It allows significant speed increases in inference, now 2 to 11 times faster on mobile GPUs, while reducing memory consumption by approximately 77.8%.

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