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In-browser (onnxruntime-web / WebGPU) build of nvidia/LocateAnything-3B, a visual-grounding / open-vocabulary detector. The language tower is weight-only INT4 and the embedding table is true group-wise 4-bit.
another merger from my TI's
Works best at 0.75 weight.
Invisible Stitch: Generating Smooth 3D Scenes with Depth Inpainting
Works best at 0.75 weight.
Works best at 0.75 weight.
Works best at 0.75 weight.
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set: Loss: 0.9866 Accuracy: 0.7954
用表情包加我的noob and ntr mix chibi的蒸馏数据来的,某种意义上是anima的模型我不会出一个专门的表情包模型了
为什么noob都1.0了还有人在用ill的nyalia lora