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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.

VMware

deberta-v3-base-mrqa

VMware/deberta-v3-base-mrqa
Model details
question answeringLicense: apache-2.0SHA-256 recorded for 8 of 10 filessafetensors · BIN

Content controls: not assessed.

The catalog lists this model for answering questions. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

Quick answer: compatibility and sources

Can I run deberta-v3-base-mrqa on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 6 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.

deberta-v3-base-mrqa is an open-weights language model for question answering. 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: 6256b916b78f3bc5195d99ab5c2bdba8bb23d7d022aa4e649b515b5dca9f4e59. 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-vmware-deberta-v3-base-mrqa.
  • Open /artifact/hf-model-vmware-deberta-v3-base-mrqa/files for this exact filenames, availability and any recorded SHA-256.
  • Open /evidence/artifacts/hf-model-vmware-deberta-v3-base-mrqa for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-vmware-deberta-v3-base-mrqa/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.

6 hosted of 10 listed

Hashes recorded. Date not recorded.

File大小SHA-256来源下载
Weights
model.safetensors735.4 MB
6256b916…ca9f4e596256b916b78f3bc5195d99ab5c2bdba8bb23d7d022aa4e649b515b5dca9f4e59
Hosted下载
pytorch_model.bin735.4 MB
a6106f90…c1fbba15a6106f9014131642fc6ec35e364b2081686ed4a34b04335089bdccb2c1fbba15
Upstream onlyFile metadata
Tokenizer & config
config.json875 bytes
afe497ed…cd7cc60fafe497ed31a656793b0ccd4db71ab8ccc042654cf70fe362decf28e9cd7cc60f
Hosted下载
special_tokens_map.json173 bytes
311de3f4…bf519ecc311de3f4eed9d76a43bf0d71f10e62e086ca65ccce9f15d5da0d2098bf519ecc
Hosted下载
spm.model2.46 MB
c679fbf9…4af586fdc679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
Upstream onlyFile metadata
tokenizer.json8.66 MB
a86f8833…0a2a87dfa86f883318afa11c8c10466f1bf4efaeb6ded28a52cbe57217a8fa0d0a2a87df
Hosted下载
tokenizer_config.json454 bytes
dede30e5…c4973e63dede30e5a9bf826cb6585c57081bc79ba0072113839a63256afc303ac4973e63
Hosted下载
added_tokens.json23 bytes
dc046d04…5ca4e91fdc046d04c9b0ada7ae6f1dc89c465801799acdf0c9a6aab8c15a1b2d5ca4e91f
Hosted下载
Docs
.gitattributes1.48 KB—Upstream onlyFile metadata
README.md6.25 KB—Upstream onlyFile metadata

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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