---
library_name: litert
base_model: timm/eva02_base_patch14_448.mim_in22k_ft_in1k
license: mit
tags:
  - vision
  - image-classification
  - timm
datasets:
  - imagenet-1k
---

# eva02_base_patch14_448.mim_in22k_ft_in1k

Converted TIMM image classification model for LiteRT.

- Source architecture: `eva02_base_patch14_448`
- Source checkpoint: `timm/eva02_base_patch14_448.mim_in22k_ft_in1k`
- File: `model.tflite`
- Runtime target: CPU only. GPU delegation is not expected for this converted file.
- Input: `float32` tensor in NCHW layout, shape `[1, 3, 448, 448]`
- Output: ImageNet-1K logits, shape `[1, 1000]`
- Converted artifact size: 0.32 GiB
- Weight storage: `inline`

## Model Details

- **Model Type:** Image classification / feature backbone
- **Model Stats:**
  - Params (M): 87.1
  - GMACs: 107.1
  - Activations (M): 259.1
  - Image size: 448 x 448
- **Papers:**
  - EVA-02: A Visual Representation for Neon Genesis: https://arxiv.org/abs/2303.11331
  - EVA-CLIP: Improved Training Techniques for CLIP at Scale: https://arxiv.org/abs/2303.15389
- **Original:**
  - https://github.com/baaivision/EVA
  - https://huggingface.co/Yuxin-CV/EVA-02
- **Pretrain Dataset:** ImageNet-22k
- **Dataset:** ImageNet-1k

## Citation

```bibtex
@article{EVA02,
  title={EVA-02: A Visual Representation for Neon Genesis},
  author={Fang, Yuxin and Sun, Quan and Wang, Xinggang and Huang, Tiejun and Wang, Xinlong and Cao, Yue},
  journal={arXiv preprint arXiv:2303.11331},
  year={2023}
}
```
```bibtex
@article{EVA-CLIP,
  title={EVA-02: A Visual Representation for Neon Genesis},
  author={Sun, Quan and Fang, Yuxin and Wu, Ledell and Wang, Xinlong and Cao, Yue},
  journal={arXiv preprint arXiv:2303.15389},
  year={2023}
}
```
```bibtex
@misc{rw2019timm,
  author = {Ross Wightman},
  title = {PyTorch Image Models},
  year = {2019},
  publisher = {GitHub},
  journal = {GitHub repository},
  doi = {10.5281/zenodo.4414861},
  howpublished = {\url{https://github.com/huggingface/pytorch-image-models}}
}
```