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Two small chat models run in a computer’s browser here; every other model is a file you download.

pymaster

VocalParse

pymaster/VocalParse
Model details
speech recognitionLicense: apache-2.0SHA-256 recorded for 12 of 13 filessafetensors

Content controls: not assessed.

The catalog lists this model for transcribing speech. Catalog sources: license, cardMetadata.license, baseModel, task, cardMetadata.pipelineTag.

Quick answer: compatibility and sources

Can I run VocalParse on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 12 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.

VocalParse is an open-weights audio model for speech recognition. 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: 08a69f96082ed962950b7a6e90cd1482e87b132cecab1d805a7a024fcee7b08d. 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-pymaster-vocalparse.
  • Open /artifact/hf-model-pymaster-vocalparse/files for this exact filenames, availability and any recorded SHA-256.
  • Open /evidence/artifacts/hf-model-pymaster-vocalparse for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-pymaster-vocalparse/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.

What's included

12 hosted of 13 listed

Weights
Tokenizer & config
README, LICENSE & .gitattributes

About this model

External Hugging Face catalog record for pymaster/VocalParse. Task: automatic speech recognition. Library: unknown. Languages: zh. Base model: Qwen/Qwen3-ASR-1.7B. Popularity signal at import: 197 downloads and 5 likes.

Quick facts

Hosted here
12 hosted of 13 listed
Full repo upstream
4.09 GB
Languages
zh
Format
safetensors
File hashes
Hashes recorded. Date not recorded.

License & source

License: apache-2.0

12 hosted of 13 listed

Check the license text and keep the required notices when you use or share the files.

Upstream source →

See the JSON record →

Task
speech recognition
Hosted here
at least 12 listed files; full count and size unknown
Full repo upstream
4.09 GB
Files
12 hosted of 13 listed
Added to Hugging Bay
Updated at source

FAQ

What is this model?

pymaster/VocalParse is an open-weights audio model for speech recognition published by pymaster, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for automatic speech recognition: pymaster/VocalParse · unknown

Can I use it commercially?

It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

How big is it?

Hosted here: at least 12 listed files; full count and size unknown. Full repo upstream: 4.09 GB.

What can I download here?

Hosted here: at least 12 listed files; full count and size unknown. Full repo upstream: 4.09 GB. The original release is at https://huggingface.co/pymaster/VocalParse.

File checks and computer fit
File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 12 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-pymaster-vocalparse/safety on Hugging Bay.

Will pymaster/VocalParse run on my computer?

We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.

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