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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.

Setur

BRAGD

Can I run BRAGD on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 5 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.

BRAGD is an open-weights language model for token classification. 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: b6441fdc2b549c576180f269a9032ebbc0e062dfdf9a1ece5ca3c86839537ea1. 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 .

Setur/BRAGD
Model details
token classificationLicense: cc-by-4.0SHA-256 recorded for 6 of 10 filessafetensors

Content controls: not assessed.

The catalog lists this model for labeling parts of text. Catalog sources: license, cardMetadata.license, baseModel, task, cardMetadata.pipelineTag.

5 hosted of 10 listed

Hashes recorded. Date not recorded.

FileTamanhoSHA-256OrigemBaixar
Weights
model.safetensors Default495.7 MB
b6441fdc…39537ea1b6441fdc2b549c576180f269a9032ebbc0e062dfdf9a1ece5ca3c86839537ea1
HostedBaixar
Tokenizer & config
config.json4.03 KB
8803e7bd…d42fbb9a8803e7bdeb6a53281925aa0f8799a5225a45075af9112f8fd616c0c0d42fbb9a
HostedBaixar
constraint_mask.json1.55 KB—Upstream onlyFile metadata
sentencepiece.bpe.model1.08 MB
9fca7037…83ce7a419fca70379c621cffc6910d3988182faedd75c5b01a8adcb552405a8f83ce7a41
Upstream onlyFile metadata
special_tokens_map.json1.01 KB
152f77ff…fbf347c8152f77ffe3cc174ee82dfc88eed567a04152a7ed214818ec74c99548fbf347c8
HostedBaixar
tag_mappings.json104.5 KB—Upstream onlyFile metadata
tokenizer.json3.73 MB
f28d769f…f9c3a914f28d769f4b3b4e3eedb9bd7b61372a0b103925ed9b988dc1e0cab8b7f9c3a914
HostedBaixar
tokenizer_config.json1.25 KB
e64cdfb8…446cde95e64cdfb8abfc40a056cd5480b0dd046c855285e215444247189c4b8c446cde95
HostedBaixar
Docs
.gitattributes1.52 KB—Upstream onlyFile metadata
README.md7.94 KB—Upstream onlyFile metadata

Verificar um 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.