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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.

deepvk

USER2-small

deepvk/USER2-small
Model details
sentence similarity and retrievalLicense: apache-2.0SHA-256 recorded for 12 of 13 filessafetensors

Content controls: not assessed.

The catalog lists this model for checking whether two sentences mean similar things. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

Quick answer: compatibility and sources

Can I run USER2-small 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.

USER2-small is an embedding model for sentence similarity and retrieval. 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: f4fb765b2302192d3ac2315fd3ee0951f23efca4ad4ad19636b637e81d790529. 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-deepvk-user2-small.
  • Open /artifact/hf-model-deepvk-user2-small/files for this exact filenames, availability and any recorded SHA-256.
  • Open /evidence/artifacts/hf-model-deepvk-user2-small for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-deepvk-user2-small/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.

10 hosted of 13 listed

Hashes recorded. Date not recorded.

File大小SHA-256来源下载
Weights
model.safetensors137.6 MB
f4fb765b…1d790529f4fb765b2302192d3ac2315fd3ee0951f23efca4ad4ad19636b637e81d790529
Hosted下载
Tokenizer & config
1_Pooling/config.json296 bytes
a19c8380…3e0c5335a19c83805e1ce4174f3fbfec4ac8d3b8dbae0c958f8fd51b80937eb33e0c5335
Hosted下载
assets/mrl.png133.5 KB
a020469e…2369d231a020469efa3c0a2b05f18442d85d96f91e760f712ede7163a4b660412369d231
Upstream onlyFile metadata
assets/training_stages.png122.5 KB
0a528c6c…3c9188e10a528c6c5ed943551a85ce4f518979b695ccc92678ea06ab4d5781a03c9188e1
Upstream onlyFile metadata
config.json2.27 KB
ccf3bfc4…8adc062cccf3bfc44ddc6eb2184c35347b975c17d1bffe7a63103e5fdc92c6a48adc062c
Hosted下载
config_sentence_transformers.json359 bytes
3a032a6e…e692ddb93a032a6eacfd7c2ed17dbad876d0b940ed7d2ac0091da43c2a89a880e692ddb9
Hosted下载
sentence_bert_config.json54 bytes
eb9b44b1…40776eb1eb9b44b13c0f52a3b3685c3b1cbdea1ba8b04bea123b98f61610048940776eb1
Hosted下载
special_tokens_map.json837 bytes
2ea3c1eb…9c916d622ea3c1eb27baf06d75115d453c067c1832d7101a97243b298a4af8d59c916d62
Hosted下载
tokenizer.json4.75 MB
8bdc337b…27395c4e8bdc337bdee65a5fdb697df1ac7453b2ae5c34c105125eac5f68c87827395c4e
Hosted下载
tokenizer_config.json21.2 KB
818f4315…b28ec59a818f4315a225493cfb33e07d6cb49e56432a90364ef080cbe0c594ceb28ec59a
Hosted下载
modules.json229 bytes
8f4b264b…b31454608f4b264b80206c830bebbdcae377e137925650a433b689343a63bdc9b3145460
Hosted下载
Docs
.gitattributes1.56 KB—Upstream onlyFile metadata
README.md14.8 KB
f8e06527…3bb90df1f8e065273a1447b7b746a624a2c9aeb1858d83dab61510eece0364a33bb90df1
Hosted下载

检查下载文件

In the folder where you saved config.json, run:

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

Compare the result with the recorded SHA-256.

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