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CLIMP-Mamba2
NimrodShabtay1986/CLIMP-Mamba2
CLIMP-Mamba2 is a zero-shot image classification model from NimrodShabtay1986. Use it for the zero-shot image classification task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Contrastive Language-Image Mamba Pretraining (CLIMP) using Mamba2-1.3B as text encoder.
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At a glance
- Task
- Zero-Shot Image Classification
- License
- apache-2.0
- Access
- Public
- Created
- Jun 23, 2026
- Updated
- Jun 24, 2026
- SHA
- fc6aba73
Datasets
Model card
From the Hugging Face model README
CLIMP-Mamba2
Contrastive Language-Image Mamba Pretraining (CLIMP) using Mamba2-1.3B as text encoder.
Model Description
| Component | Details |
|---|---|
| Vision Encoder | VMamba-Base (128-256-512-1024 dims, depths [2,2,15,2]) |
| Text Encoder | Mamba2-1.3B (AntonV/mamba2-1.3b-hf) |
| Projection Dim | 768 |
| Training Data | CC12M |
| Image Resolution | 224x224 |
| Loss | Symmetric InfoNCE (learned temperature) |
Usage
from models import load_climp
from data.utils import transform_image
model = load_climp("mamba2")
transform = transform_image(224)
See the demo repository for evaluation code.
Paper
CLIMP: Contrastive Language-Image Mamba Pretraining
@article{climp2026,
title={CLIMP: Contrastive Language-Image Mamba Pretraining},
author={Shabtay, Nimrod and Zimerman, Itamar and Schwartz, Eli and Giryes, Raja},
journal={arXiv preprint arXiv:2601.06891},
year={2026}
}
- Task
- Zero-Shot Image Classification
- License
- apache-2.0
- Created
- Jun 23, 2026
- Updated
- Jun 24, 2026