Unverified50% confidenceFactExact time
QuaRot 由 ETH Zurich 于 2024 年提出，将旋转矩阵融入 Transformer 各计算节点
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（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).63% similarUnverifiedQwen底层架构基于Transformer技术，参数规模从70亿到数千亿不等61% similarUnverifiedDiffusionBlocks was validated on five different architectures: ViT, DiT, Masked Diffusion, autoregressive Transformer, and recurrent deep Transformer.59% similarUnverifiedTransformer架构最初由Vaswani等人于2017年为NLP设计，后被迁移到视觉（ViT）、音频、蛋白质结构预测等几乎所有AI子领域58% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/489937API
curl https://kongchang.com/api/v1/knowledge/claims/489937MCP
get_claim(id=489937)