whisper-medium safetensors download (3.06 GB) | Hugging Bay

openai

whisper-medium

Can I run whisper-medium on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 16 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.

whisper-medium is an open-weights audio model for speech recognition. Model weights are learned parameters; a runtime loads them. Hosting files does not prove that a complete model runs.

As of the availability check on 2026-10-22.

Recorded SHA-256 for model.safetensors: 62f73550fa6db24b0c6f6c5962bd0dae80fa644e93cde9cd9c3792971b47fd28. File evidence · Machine-readable facts · Run evidence and any recorded receipts · Proof Lab measurement policy. A checksum verifies byte identity, not safety; this answer asserts no measured runtime result.

Updated 2026-10-21 · Page text: As of 2026-10-21 · Content revision

Model metadata: As of 2026-08-30 at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked 2026-10-22.

openai/whisper-medium

Model details

speech recognitionLicense: apache-2.0Hashes recordedsafetensors · BIN · H5

Content controls: not assessed.

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

View as JSON →

Your next step

Use it from code

This Python snippet downloads the selected file. Running the model needs its own library and setup.

from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-openai-whisper-medium/model.safetensors",
    "model.safetensors",
)

Other ways

This file cannot open in the app. The app supports one GGUF file at a time.

See app requirements

16 hosted of 16 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors3.06 GB · 1 file Download · 3.06 GB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

Compare your file’s SHA-256 with the recorded hash.

Informações do modelo

whisper-medium is an open-weights audio model for speech recognition. The primary file is model.safetensors (3.06 GB). The primary file needs about 5 GB free for the selected file (file plus room to run it). License: Apache 2.0. The SHA-256 prefix is 62f73550fa6d. The primary Download is available now. No tested run commands for this file yet. See Files for current download availability. The size and hash details refer to the selected file, not every file in the repository. The memory figure is estimated from recorded file size with working room included.

O que está incluído

16 hosted of 16 listed

Weights

Tokenizer & config

README, LICENSE & .gitattributes

Sobre este modelo

External Hugging Face catalog record for openai/whisper-medium. Task: automatic speech recognition. Library: transformers. Languages: en, zh, de, es, ru, ko, fr, ja. Includes 3 model-card evaluation signals. Popularity signal at import: 355,192 downloads and 291 likes.

Informações básicas

Hosted here: 16 hosted of 16 listed
Full repo upstream: 12.2 GB
Recommended file: 3.06 GB · model.safetensors
Languages: en, zh, de, es, ru, ko, fr, ja, pt, tr, pl, ca
Format: safetensors · BIN · H5
File hashes: Hashes recorded. Date not recorded.

Licença e origem

License: apache-2.0

16 hosted of 16 listed

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

Upstream source →

See the JSON record →

License: Apache 2.0. Free to use and share, keep the credit notice
Task: speech recognition
Hosted here: at least 16 listed files; full count and size unknown
Full repo upstream: 12.2 GB
Recommended file: 3.06 GB · model.safetensors
Files: 16 hosted of 16 listed
Download: Download here (16 hosted files)
Added to Hugging Bay: Jun 29, 2026
Updated at source: Aug 30, 2026
Source: openai/whisper-medium

FAQ

What is this model?

openai/whisper-medium is an open-weights audio model for speech recognition published by openai, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for automatic speech recognition: openai/whisper-medium · transformers

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 16 listed files; full count and size unknown. Full repo upstream: 12.2 GB. The recommended download, model.safetensors, is 3.06 GB.

What can I download here?

Hosted here: at least 16 listed files; full count and size unknown. Full repo upstream: 12.2 GB. The original release is at https://huggingface.co/openai/whisper-medium.

File checks and computer fit

File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 16 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-openai-whisper-medium/safety on Hugging Bay.

Will openai/whisper-medium 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.

Other versions of this model

3 repacks listed on Hugging Face, grouped by publisher card or Name match. This does not mean the files match the original weights.

handy-computer/whisper-medium-gguf (GGUF)
oxide-lab/whisper-medium-GGUF (GGUF · GITATTRIBUTES · JSON · MD · Name match)
KBLab/kb-whisper-medium (ONNX · SAFETENSORS)