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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.

bowphs

PhilBerta

bowphs/PhilBerta
Model details
masked-language modelingLicense: apache-2.0SHA-256 recorded for 10 of 11 filessafetensors · BIN · H5

Content controls: not assessed.

The catalog lists this model for filling in missing words in text. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

Quick answer: compatibility and sources

Can I run PhilBerta 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.

PhilBerta is an open-weights language model for masked-language modeling. 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: ee171998a5b5e527f2c8dcd0ae34e1c8a3cf06ab46aaa60e8878caad4ee7113e. 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-bowphs-philberta.
  • Open /artifact/hf-model-bowphs-philberta/files for this exact filenames, availability and any recorded SHA-256.
  • Open /evidence/artifacts/hf-model-bowphs-philberta for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-bowphs-philberta/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 11 listed

Hashes recorded. Date not recorded.

File大小SHA-256来源下载
Weights
model.safetensors541.1 MB
ee171998…4ee7113eee171998a5b5e527f2c8dcd0ae34e1c8a3cf06ab46aaa60e8878caad4ee7113e
Hosted下载
pytorch_model.bin541.1 MB
6cd44851…e99fa6646cd44851835633320bee0a1af581f5d856f7a45edcf09344e3c20e03e99fa664
Upstream onlyFile metadata
Tokenizer & config
config.json676 bytes
07380a39…f808baf307380a391cdd0b5845cc752c71952f3bb39769102f7058a2fcacca62f808baf3
Hosted下载
merges.txt994.2 KB
b6906453…575172c2b6906453058980fa1fedad6b13aa4538c0ecf03dc401667f6377df0f575172c2
Hosted下载
tf_model.h5739.5 MB
15618e70…6b6e3f5915618e7003d5c184749d58ba6542ebf04ef4fa1159461b29f32e685d6b6e3f59
Upstream onlyFile metadata
tokenizer.json3.51 MB
c78914c4…ef041a88c78914c4653d96af123bb9aa59caed673a825ce781cdcbec5e000004ef041a88
Hosted下载
tokenizer_config.json354 bytes
b8416103…07fa7db2b84161037f09b852514ecec8f9454f4e81aa766b4c931fed78b9babd07fa7db2
Hosted下载
vocab.json1.43 MB
066f8a80…72909314066f8a80beeacc1fee41fc04f87e5773e27d7762dc45659d3b21773372909314
Hosted下载
special_tokens_map.json280 bytes
06e405a3…6318067f06e405a36dfe4b9604f484f6a1e619af1a7f7d09e34a8555eb0b77b66318067f
Hosted下载
Docs
.gitattributes1.48 KB—Upstream onlyFile metadata
README.md2.34 KB
71ded178…9e89334d71ded178b2d528f8cb9b6713d7c12309c7f4a390a3b348b5c652773f9e89334d
Hosted下载

检查下载文件

In the folder where you saved README.md, run:

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

Compare the result with the recorded SHA-256.

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