Foresight News 消息，据官方公告，Tether 宣布推出 QVAC Fabric 中的跨平台 BitNet LoRA 微调框架，实现对 Microsoft BitNet（1-bit LLM）的训练与推理优化。该框架显著降低算力与内存需求，使十亿参数级模型可在笔记本、消费级 GPU 及智能手机上完成训练与微调。

<p>Foresight News 消息，据官方公告，Tether 宣布推出 QVAC Fabric 中的跨平台 BitNet LoRA 微调框架，实现对 Microsoft BitNet（1-bit LLM）的训练与推理优化。该框架显著降低算力与内存需求，使十亿参数级模型可在笔记本、消费级 GPU 及智能手机上完成训练与微调。</p>

Tether 发布 QVAC 跨平台 BitNet LoRA 框架：支持消费级设备训练十亿参数 AI 模型

According to Foresight News , Tether has announced the release of a cross-platform BitNet LoRA fine-tuning framework in its QVAC Fabric, optimizing training and inference for Microsoft BitNet (1-bit LLM). This framework significantly reduces computational and memory requirements, enabling billion-parameter models to be trained and fine-tuned on laptops, consumer GPUs, and smartphones.

<p>According to Foresight News , Tether has announced the release of a cross-platform BitNet LoRA fine-tuning framework in its QVAC Fabric, optimizing training and inference for Microsoft BitNet (1-bit LLM). This framework significantly reduces computational and memory requirements, enabling billion-parameter models to be trained and fine-tuned on laptops, consumer GPUs, and smartphones.</p>

Tether releases QVAC cross-platform BitNet LoRA framework: enabling training of billion-parameter AI models on consumer devices.

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Boris Cherny, head of the Anthropic Claude Code, announced that starting in April 2026 [...]
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