laion/CLIP-ViT-L-14-laion2B-s32B-b82K
zero-shot-image-classification model by laion
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Model card & documentation
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A CLIP ViT L/14 model trained with the LAION-2B English subset of LAION-5B (https://laion.ai/blog/laion-5b/) using OpenCLIP (https://github.com/mlfoundations/openclip). Model training ('babysitting') done by Ross Wightman on the JUWELS Booster supercomputer. See acknowledgements below. As per the original OpenAI CLIP model card, this model is intended as a research output for research communities. We hope that this model will enable researchers to better understand and explore zero-shot, arbitrary image classification. We also hope it can be used for interdisciplinary studies of the potential impact of such model. The OpenAI CLIP paper includes a discussion of potential downstream impacts to provide an example for this sort of analysis. Additionally, the LAION-5B blog (https://laion.ai/blog/laion-5b/) and upcoming paper include additional discussion as it relates specifically to the training dataset. Zero-shot image classification, image and text retrieval, among others. Image classification and other image task fine-tuning, linear probe image classification, image generation guiding and conditioning, among…
Read the full model card ↗ · Preview checked 2026-10-29T00:39:44.437Z
Inside the original model card — Document outline
- Model Card for CLIP ViT-L/14 - LAION-2B
- Table of Contents
- Model Details
- Model Description
- Uses
- Direct Use
- Downstream Use
- Out-of-Scope Use
- Training Details
- Training Data
- Training Procedure
- Slum Script
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Model overview
laion/CLIP-ViT-L-14-laion2B-s32B-b82K is a zero-shot-image-classification model repository published by laion on Hugging Face. The source reports the open_clip library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- zero-shot-image-classification
- Library
- open_clip
- Recent downloads (30 days)
- 4,218,237
- Cumulative likes
- 67
- Hugging Face trending score
- 1
- Reported safetensors parameters
- 427,616,846
- Architecture
- CLIPModel
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2022-09-14T22:51:37.000Z
- Last modified
- 2024-01-16T22:57:44.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-17T06:34:58.060Z. Daily imports are snapshots, not real-time monitoring.
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