Downloads · 30 days
6
9% of all-time downloads
CLIMP-Mamba1
NimrodShabtay1986/CLIMP-Mamba1
CLIMP-Mamba1 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 Mamba-1.4B as text encoder.
All-time downloads
70
Public
Parameters
1.5B
5.8 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors5.8 GB · 100%
At a glance
- Task
- Zero-Shot Image Classification
- License
- apache-2.0
- Access
- Public
- Created
- Jun 23, 2026
- Updated
- Jun 24, 2026
- SHA
- 37ea667a
Datasets
Model card
From the Hugging Face model README
CLIMP-Mamba1
Contrastive Language-Image Mamba Pretraining (CLIMP) using Mamba-1.4B as text encoder.
Model Description
| Component | Details |
|---|---|
| Vision Encoder | VMamba-Base (128-256-512-1024 dims, depths [2,2,15,2]) |
| Text Encoder | Mamba-1.4B (state-spaces/mamba-1.4b-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("mamba1")
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