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---
base_model: openai/clip-vit-base-patch32
license: mit
tags:
- smat
- model-merging
- vision
pipeline_tag: image-classification
---
# CLIP ViT base-patch32 路 SMAT 路 RESISC45
A SMAT expert from Table 2 of **SMAT: Simple and Efficient Merge-Aware Training** (seed 42). SMAT trains experts with model merging in mind.
[Paper](https://arxiv.org/abs/2609.33437) 路 [GitHub & usage](https://github.com/egangu/smat/blob/main/docs/HUGGINGFACE.md)
`encoder.pt` is the original FP32 vision-encoder state dictionary; load it with the SMAT code and the matching OpenAI CLIP base model. Dataset terms apply separately.