Unverified50% confidenceFactExact time
QuaRot（2024，ETH Zurich）首次将Hadamard旋转系统性地融入Transformer各计算节点，在LLaMA系列上验证了接近FP16的精度表现
1
Sources
50%
Confidence
Long-term
Relevance
7/12/2026
First Seen
Sources
INT4 ConvRot W4A4 Quantization: Running Large Image Models on Low-VRAM GPUs in ComfyUI
redditr/comfyui7/11/2026
Related Claims
UnverifiedQuaRot 由 ETH Zurich 于 2024 年提出，将旋转矩阵融入 Transformer 各计算节点83% similarVerifiedThe Qwen 3.5 architecture uses an improved Transformer variant that incorporates technologies such as Grouped Query Attention (GQA) and Rotary Position Embedding (RoPE).65% similarUnverifiedQwen底层架构基于Transformer技术，参数规模从70亿到数千亿不等62% similarUnverifiedThe Transformer Engine of the Hopper architecture can dynamically switch precision between FP8 and FP16 on a per-layer basis.61% similarVerifiedTransformer has expanded from NLP into computer vision (ViT), speech recognition (Whisper), multimodal models (CLIP, GPT-4V), and even protein structure prediction (AlphaFold2).60% similar
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