VLM2Vec-Full
Can I run VLM2Vec-Full on my computer?
It depends on your memory, processor, file format and runtime. Hugging Bay offers 10 hosted files; check the file list for the exact selection. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.
VLM2Vec-Full is a vision model for text generation. Model weights are learned parameters; a runtime loads them. Hosting files does not prove that a complete model runs.
As of the availability check on .
Recorded SHA-256 for model-00001-of-00002.safetensors: 8b4afd2a33c0becd2baf8fe9fe22268cf11389f22c837dd4fb91fe5d4b3bada8. File evidence · Machine-readable facts · Run evidence and any recorded receipts · Proof Lab measurement policy. A checksum verifies byte identity, not safety; this answer asserts no measured runtime result.
Updated · Page text: As of · Content revision
Model metadata: As of at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked .
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TIGER-Lab/VLM2Vec-FullO que está incluído
10 hosted of 18 listed
Sobre este modelo
External Hugging Face catalog record for TIGER-Lab/VLM2Vec-Full. Task: text generation. Library: transformers. Languages: en. Datasets referenced by card metadata: TIGER-Lab/MMEB-train. Popularity signal at import: 244,275 downloads and 29 likes.
Informações básicas
- Hosted here
- 10 hosted of 18 listed
- Full repo upstream
- 16.6 GB
- Recommended file
- 16.6 GB (4 files)
- Languages
- en
- Format
- safetensors · BIN
- File hashes
- Hashes recorded. Date not recorded.
Licença e origem
License: apache-2.0
10 hosted of 18 listed
Check the license text and keep the required notices when you use or share the files.
Upstream source →- Task
- text generation
- Hosted here
- 10 files, 8.3 GB
- Full repo upstream
- 16.6 GB
- Recommended file
- 16.6 GB (4 files)
- Files
- 10 hosted of 18 listed
- Download
- Download here (10 hosted files)
- Added to Hugging Bay
- Updated at source
- Source
- TIGER-Lab/VLM2Vec-Full
FAQ
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
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.
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.
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.
File checks and computer fit
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.
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.