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AI models that run on this device.

Two small chat models run in a computer’s browser here; every other model is a file you download.

google

owlvit-base-patch32

google/owlvit-base-patch32
Model details
zero shot object detectionLicense: apache-2.0SHA-256 recorded for 9 of 10 filessafetensors · BIN

Content controls: not assessed.

The catalog does not give enough information to describe what this model is for. Catalog sources: license, cardMetadata.license.

Quick answer: compatibility and sources

Can I run owlvit-base-patch32 on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 8 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.

owlvit-base-patch32 is a vision model for zero shot object detection. 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.safetensors: 4dbe0399f0b7d7c8dddf1535a98769cc30743bebc877aea681998c8d984ce52b. 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-google-owlvit-base-patch32.
  • Open /artifact/hf-model-google-owlvit-base-patch32/files for this exact filenames, availability and any recorded SHA-256.
  • Open /evidence/artifacts/hf-model-google-owlvit-base-patch32 for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-google-owlvit-base-patch32/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.

8 hosted of 10 listed

Hashes recorded. Date not recorded.

File大小SHA-256来源下载
Weights
model.safetensors613 MB
4dbe0399…984ce52b4dbe0399f0b7d7c8dddf1535a98769cc30743bebc877aea681998c8d984ce52b
Hosted下载
pytorch_model.bin613 MB
02437334…26d5b53102437334ba11db56a312a6c3f0f351f610a1075751bfe36b689636a826d5b531
Hosted下载
Tokenizer & config
config.json4.42 KB
b5934e0d…ff7a9d7cb5934e0d2933194b8a85f93674e577feaa1a1ba2dc1d143b2d5e5305ff7a9d7c
Hosted下载
merges.txt524.6 KB
9fd691f7…e299051a9fd691f7c8039210e0fced15865466c65820d09b63988b0174bfe25de299051a
Hosted下载
preprocessor_config.json392 bytes
2010d320…f0e9bb6e2010d320cd2c68a8bb1de69aaa8f89daf173ef17cc22a30e4baf44b2f0e9bb6e
Hosted下载
special_tokens_map.json460 bytes
f118ab3a…53cdaab6f118ab3a983206e4f32583448de6bd6aae4ee21869135cef1f5848a753cdaab6
Hosted下载
tokenizer_config.json775 bytes
da35acee…106bfb6eda35aceebeda2adf44094a5867940b09379323b9390fa9197b57044e106bfb6e
Hosted下载
vocab.json1.06 MB—Upstream onlyFile metadata
Docs
.gitattributes1.23 KB
400b270b…cf393ae2400b270bc8f5cb44fda65b1a4532ceca0fb452d0637425e861829560cf393ae2
Upstream onlyFile metadata
README.md5.15 KB
a16c7074…25f236bfa16c707494da894773e85c1be976ae605a7b3a3ce92cf9ed277623dd25f236bf
Hosted下载

检查下载文件

In the folder where you saved .gitattributes, run:

macOS
shasum -a 256 -- '.gitattributes'
Linux
sha256sum -- '.gitattributes'
Windows
Get-FileHash -LiteralPath '.gitattributes' -Algorithm SHA256

Compare the result with the recorded SHA-256.

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