Model overview
A DINOv3 ConvNeXt image feature model. Pretrained on LVD-1689M with self-supervised DINOv3 method, distilled from DINOv3 ViT-7B. - **Model Type:** Image classification / feature backbone - **Model Stats:** - Params (M): 27.8 - GMACs: 4.5 - Activations (M): 13.4 - Image size: 224 x 224 - **Papers:** - DINOv3: https://arxiv.org/abs/2508.10104 - A ConvNet for the 2020s: https://arxiv.org/abs/2201.03545 - PyTorch Image Models: https://github.com/huggingface/pytorch-image-models - **Original:** https://github.com/facebookresearch/dinov3 - **Pretrain Dataset:** LVD-1689M - **License:** DINOv3
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
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Source prices & cost analysis
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| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
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Sources & traceability
许可证：other。模型介绍与第三方评测均以原来源的具体版本和方法为准。