owlv2-large-patch14-ensemble download | Hugging Bay

Q: What is this model?

google/owlv2-large-patch14-ensemble is a vision model for zero shot object detection published by google, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for zero shot object detection: google/owlv2-large-patch14-ensemble · 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: 9 files, 3.5 GB. Full repo upstream: 3.5 GB. The recommended download, model.safetensors, is 1.75 GB.

Q: What can I download here?

Hosted here: 9 files, 3.5 GB. Full repo upstream: 3.5 GB. The original release is at https://huggingface.co/google/owlv2-large-patch14-ensemble.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 9 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-google-owlv2-large-patch14-ensemble/safety on Hugging Bay.

Q: Will google/owlv2-large-patch14-ensemble 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.

google

owlv2-large-patch14-ensemble

google/owlv2-large-patch14-ensemble

zero shot object detectionLicense: apache-2.0Hashes recordedsafetensors · BIN

Content controls: not assessed.

Model from Hugging Face for zero shot object detection: google/owlv2-large-patch14-ensemble · transformers

View as JSON →

9 hosted of 11 listed

Hashes recorded. Date not recorded.

File	Size	SHA-256	Source	Download
Weights
`model.safetensors` Default	1.75 GB	`d1c22615…f7f40075` `d1c2261503c55aaf400667a843a54a5167e3c696334674c4093d6d10f7f40075`	Hosted	Download
`pytorch_model.bin`	1.75 GB	`2934e1f3…1e0be252` `2934e1f32c68b49f62e9b7a415c22080a8bf197c50c6f4408f4a60e21e0be252`	Hosted	Download
Tokenizer & config
`added_tokens.json`	67 bytes	`e5dc0da3…2636a24f` `e5dc0da35d20111e8ff3fdfc03682beca23d5f94ed74331bce81786b2636a24f`	Hosted	Download
`config.json`	617 bytes	`3d45ac1f…2b828a52` `3d45ac1f2698c5d824aef0a0dacd356d063f9cd950119103a03fd6a62b828a52`	Hosted	Download
`merges.txt`	524.6 KB	`9fd691f7…e299051a` `9fd691f7c8039210e0fced15865466c65820d09b63988b0174bfe25de299051a`	Hosted	Download
`preprocessor_config.json`	427 bytes	`15cfb3c6…e76359f6` `15cfb3c68e48169abf0ff599a65123d79f92d6f2e3eff6f5ae96bb69e76359f6`	Hosted	Download
`special_tokens_map.json`	121 bytes	`d6e2b9cf…1f9cf73e` `d6e2b9cf664efbad2d22998b8d3da986abcbeed3e0825ad33605c9401f9cf73e`	Hosted	Download
`tokenizer_config.json`	1.1 KB	`b55cda61…f511f44f` `b55cda6198e152ded427c8a9b3faf1cccf27a7fa080697a62f6ff143f511f44f`	Hosted	Download
`vocab.json`	1.06 MB	—	Upstream only	File metadata
Docs
`.gitattributes`	1.52 KB	`11ad7efa…8a023361` `11ad7efa24975ee4b0c3c3a38ed18737f0658a5f75a0a96787b576a78a023361`	Upstream only	File metadata
`README.md`	4.84 KB	`a2e10c39…607ecfe9` `a2e10c3916166f08eaf2ab43ca1eb63c6116df228dea655c56e4c8e1607ecfe9`	Hosted	Download

Check a download

In the folder where you saved model.safetensors, run:

macOS

shasum -a 256 -- 'model.safetensors'

Linux

sha256sum -- 'model.safetensors'

Windows

Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256

Compare the result with the recorded SHA-256.

owlv2-large-patch14-ensemble

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