VLM2Vec-Full
Try browser chat with a small demo model (a separate model; device support is checked before loading).
TIGER-Lab/VLM2Vec-FullQuick answer: compatibility and sources
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. A hosted file is an individual file Hugging Bay can serve. SHA-256 identifies exact file bytes. The availability date above applies to this file record, not the upstream metadata update date.
As of the recorded file availability check on .
Recorded SHA-256 for model-00001-of-00002.safetensors: 8b4afd2a33c0becd2baf8fe9fe22268cf11389f22c837dd4fb91fe5d4b3bada8. Exact file evidence · Machine-readable source facts · Run evidence and any recorded receipts. A checksum fingerprints only the named file bytes; it does not prove safety, quality, a complete multi-file selection or a successful run.
Updated · Page-copy source revision 8871bab84e1cf80aea1686a944ec335078a6c036 · Source files: apps/web/lib/model-page-template.mjs, apps/web/lib/model-page-v3.mjs, apps/web/lib/aeo-page.mjs · Full revision record
Model metadata: As of at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked .
Key facts
- Catalog record
- Summarizes upstream metadata; it is not itself a download or run receipt.
- File evidence
- Lists exact filenames, availability and any recorded SHA-256 for individual files.
- Run evidence
- Reports measured results only when a receipt exists for named file bytes and a setup; otherwise unmeasured.
- Checksum scope
- SHA-256 fingerprints one file’s bytes; it does not prove safety, quality or a multi-file bundle.
Evidence you can inspect (plain text)
- This page’s quick answer names the file record for hf-model-tiger-lab-vlm2vec-full.
- Open /artifact/hf-model-tiger-lab-vlm2vec-full/files for this exact filenames, availability and any recorded SHA-256.
- Open /evidence/artifacts/hf-model-tiger-lab-vlm2vec-full for run-readiness evidence tied to that record; absent receipts stay unmeasured.
- Open /api/artifacts/hf-model-tiger-lab-vlm2vec-full/card.md for machine-readable source facts (not a runtime test).
- A matching checksum on this page fingerprints only the named bytes shown in file evidence.
Unmeasured states are stated explicitly; this page does not invent run scores or compatibility guarantees.
Which date applies to which fact
- File availability check:
- Committed page-copy sources:
- Upstream model metadata: Dates on artifact records when shown; not implied by page-copy revision
- Run receipts: Only on /evidence pages when recorded; otherwise unmeasured
Page-copy revision (Updated line above) identifies committed text sources, not upstream model edits or test outcomes.
What's included
10 hosted of 18 listed
About this model
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.
Quick facts
- 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.
License & source
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.