Tether releases a cross-platform BitNet LoRA framework, supporting consumer-grade GPUs and large model training and inference on smartphones
Tether CEO Paolo Ardoino revealed that the Tether AI team has released a new version of QVAC Fabric, which integrates the cross-platform BitNet LoRA framework, enabling the training and inference of billion-parameter large models on consumer-grade GPUs and smartphones.
The new version of QVAC Fabric LLM has achieved cross-platform operation of BitNet LoRA fine-tuning and inference on AMD, Intel, Apple Metal, and mobile GPUs for the first time. On flagship devices, GPU inference speed is improved by 2 to 11 times compared to CPU, and memory usage is reduced by up to 90% compared to full precision models. The Tether team has completed fine-tuning of models with up to 3.8 billion parameters on flagship smartphones such as Pixel 9, S25, and iPhone 16, and has achieved fine-tuning of models with up to 13 billion parameters on the iPhone 16. The related code has been open-sourced to GitHub.
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Why Is Bitcoin Falling Below $60K? 5 Key Market Drivers Explained
Bitcoin has dropped sharply amid ETF outflows, Strategy stock weakness, AI stock rallies, and changing Fed expectations. Explore the key forces driving BTC’s latest correction and what traders should watch next.





