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SAVRN Model Hub · Comparisons

CLIP-ViT-B-32-laion2B-s34B-b79K vs siglip2-base-patch16-224

CLIP-ViT-B-32-laion2B-s34B-b79K has 151M parameters and siglip2-base-patch16-224 has 375M parameters; CLIP-ViT-B-32-laion2B-s34B-b79K is released under MIT License and siglip2-base-patch16-224 under Apache License 2.0; at 16-bit, CLIP-ViT-B-32-laion2B-s34B-b79K needs about 0.4 GB (1x MI300X from $1.85 an hour) and siglip2-base-patch16-224 about 0.9 GB (1x MI300X from $1.85 an hour).

Published metadata for 2 models, each read from its own repository.
Field CLIP-ViT-B-32-laion2B-s34B-b79K
laion/CLIP-ViT-B-32-laion2B-s34B-b79K
siglip2-base-patch16-224
google/siglip2-base-patch16-224
Publisher LAION eV Google
Task Zero shot image classification Zero shot image classification
Modality Other Other
Parameters, as reported 151M parameters 375M parameters
Architecture CLIPModel siglip
Library open_clip transformers
Context length 77 tokens Not stated
Repository size 2.4 GB 1.5 GB
Artifact formats safetensors, pytorch safetensors
License mit apache-2.0
Access Open weights, no gate Open weights, no gate
Memory at 16-bit (weights and margin) 0.4 GB 0.9 GB
Cheapest GPUs at 16-bit, per hour 1x MI300X, $1.85 1x MI300X, $1.85
Memory at 4-bit (weights and margin) 0.1 GB 0.2 GB
Cheapest GPUs at 4-bit, per hour 1x MI300X, $1.85 1x MI300X, $1.85
Revision viewed 1a25a446712b 75de2d55ec2d
Downloads reported by the hub 3.8M 1.6M
Last observed 2026-09-18 2026-09-18

An evaluation row appears only where at least two of these models report the same benchmark with the same stated configuration, metric, unit and setup. Different evaluators stay named in each cell. Values are shown as reported: no unit conversion, no ranking.

SAVRN's Notes on CLIP-ViT-B-32-laion2B-s34B-b79K

On disk it is 2.4 GB across 14 files, stored in float32; in 16-bit it needs 0.4 GB, and 8-bit halves that to 0.2 GB. The cheapest setup we list, one MI300X with 192 GB at $1.85 an hour, dwarfs a 151M-parameter zero-shot image classifier, so share the card. The text side reads 77 tokens, which keeps the labels you pair with images short, and the training data was the LAION-2B English subset of LAION-5B.

MIT is a short license: commercial use, modification and redistribution are allowed as long as the copyright and permission notices ride along. Set that against the publisher's framing, which calls the model a research output for research communities; the license allows a production deployment, the stated intent does not describe one. Check the serving stack too: the library is open_clip, not transformers, and the one paper on file is arXiv:1910.04867.

SAVRN's Notes on siglip2-base-patch16-224

Hand it an image and a list of candidate labels and it scores them; Google also names image-text retrieval and vision-encoder duty inside a VLM. At 375M parameters, siglip2-base-patch16-224 needs 0.9 GB at 16-bit and 0.2 GB at 4-bit, so the cheapest card in our Index, one MI300X with 192 GB at $1.85 an hour, would sit nearly idle serving it alone. We would keep it at 16-bit on a card already doing other work.

Apache 2.0 permits commercial use, modification and redistribution, includes an express patent grant, and asks you to keep the license and NOTICE file and state significant changes, so fine-tuning is within bounds. No context length appears here because it is not a language model. The 1.5 GB of safetensors is open access, and three papers describe the recipe; read the SigLIP 2 paper before deciding.

Questions

Which is larger, CLIP-ViT-B-32-laion2B-s34B-b79K or siglip2-base-patch16-224?

siglip2-base-patch16-224 (375M parameters) is larger than CLIP-ViT-B-32-laion2B-s34B-b79K (151M parameters), by the parameter counts their publishers report.

Which is cheaper to run, CLIP-ViT-B-32-laion2B-s34B-b79K or siglip2-base-patch16-224?

At 4-bit, CLIP-ViT-B-32-laion2B-s34B-b79K fits on 1x MI300X from $1.85 an hour and siglip2-base-patch16-224 on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.

Can I use CLIP-ViT-B-32-laion2B-s34B-b79K commercially?

Yes. CLIP-ViT-B-32-laion2B-s34B-b79K is released under MIT License. The MIT License is a short permissive license. It permits commercial use, modification and redistribution, provided the copyright notice and permission notice are included.

Can I use siglip2-base-patch16-224 commercially?

Yes. siglip2-base-patch16-224 is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.

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