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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.

Casually

uie-micro

Can I run uie-micro 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.

uie-micro is an embedding model for text embeddings. 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: e3d7a85b88ca674e6cd91ac0339b7502640fdbdb1e128c02accc11b225e6f729. 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 .

Casually/uie-micro
Model details
text embeddingsLicense: apache-2.0SHA-256 recorded for 6 of 9 filessafetensors · BIN

Content controls: not assessed.

The catalog lists this model for finding useful details in data. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

5 hosted of 9 listed

Hashes recorded. Date not recorded.

FileTailleSHA-256SourceTélécharger
Weights
model.safetensors Default93.6 MB
e3d7a85b…25e6f729e3d7a85b88ca674e6cd91ac0339b7502640fdbdb1e128c02accc11b225e6f729
HostedTélécharger
pytorch_model.bin93.6 MB
f1313633…108a0fc8f131363363ad1fc4550486b2c5126d6b05f38928fcf77fb05b7c86a8108a0fc8
Upstream onlyFile metadata
Tokenizer & config
config.json551 bytes
b6bbee40…9d522f46b6bbee409a52e20d72638178daca4bc005227f2e69a0ec4cf597e4049d522f46
HostedTélécharger
modeling_uie.py31.3 KB—Upstream onlyFile metadata
tokenizer_config.json171 bytes
ee92ce2b…735beaf7ee92ce2b2c8bedc34c2e60d8cc774c95d5b2a4ab91903921b992ada4735beaf7
HostedTélécharger
vocab.txt186.8 KB
8b99e7de…1f262fbb8b99e7ded859fe015d33329c4a6d75cfba7784cfe8d82db7551fbf481f262fbb
HostedTélécharger
special_tokens_map.json112 bytes
303df45a…5ec200e3303df45a03609e4ead04bc3dc1536d0ab19b5358db685b6f3da123d05ec200e3
HostedTélécharger
Docs
.gitattributes1.52 KB—Upstream onlyFile metadata
README.md6.87 KB—Upstream onlyFile metadata

Vérifier un téléchargement

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.