VLM2Vec-Full safetensors download | Hugging Bay

Q: What is this model?

TIGER-Lab/VLM2Vec-Full is a vision model for text generation published by TIGER-Lab, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for text generation: TIGER-Lab/VLM2Vec-Full · transformers

Q: Can I use it commercially?

It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

Hosted here: 10 files, 8.3 GB. Full repo upstream: 16.6 GB. The recommended download, a 4-file weight set, is 16.6 GB.

Q: What can I download here?

Hosted here: 10 files, 8.3 GB. Full repo upstream: 16.6 GB. The original release is at https://huggingface.co/TIGER-Lab/VLM2Vec-Full.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 10 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-tiger-lab-vlm2vec-full/safety on Hugging Bay.

Q: Will TIGER-Lab/VLM2Vec-Full run on my computer?

We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.

TIGER-Lab

VLM2Vec-Full

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TIGER-Lab/VLM2Vec-Full

Model details

text generationLicense: apache-2.0SHA-256 recorded for 14 of 18 filessafetensors · BIN

Content controls: not assessed.

The catalog lists this model for having conversations. Catalog sources: license, cardMetadata.license, tags, task, cardMetadata.pipelineTag.

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VLM2Vec-Full

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