openai/whisper-large-v3 Unqualified Community Evidence

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openai/whisper-large-v3 self-reported reviews and receipts are preserved for moderation with no ranking, verification, readiness, badge, or reputation effect during containment.

License: apache-2.0
Task: speech recognition
Size: 23.0 GB
Files: 0 listed, none hosted here
Download: Not hosted here; download from Hugging Face
Released: Jul 3, 2026
Updated on Hugging Bay: Aug 12, 2024
Source: openai/whisper-large-v3

FAQ

What is openai/whisper-large-v3?

openai/whisper-large-v3 is an audio model for speech recognition published by openai, released Jul 3, 2026. Model from Hugging Face for automatic speech recognition: openai/whisper-large-v3 · transformers

What license does openai/whisper-large-v3 use, and 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 openai/whisper-large-v3?

The total download is 23.0 GB.

Where can I download openai/whisper-large-v3?

Hugging Bay does not host files for this model. Download it from the original Hugging Face release at https://huggingface.co/openai/whisper-large-v3. No file list is recorded; total size: 23.0 GB.

Has openai/whisper-large-v3 been scanned for unsafe files?

Source scan status: passed. No files are hosted here, so no hosted-file hashes are published. The machine-readable verdict is at /api/artifacts/hf-model-openai-whisper-large-v3/safety on Hugging Bay.

Does openai/whisper-large-v3 run on an RTX 4090 (24GB)?

openai/whisper-large-v3 needs ~27.75 GB of memory (weights + KV cache at 8192 tokens); that is more than the 24 GB on an RTX 4090 (24GB), so it does not fit. Computed from stated size and quant, not a runtime guarantee.

Does openai/whisper-large-v3 run on an RTX 3090 (24GB)?

openai/whisper-large-v3 needs ~27.75 GB of memory (weights + KV cache at 8192 tokens); that is more than the 24 GB on an RTX 3090 (24GB), so it does not fit. Computed from stated size and quant, not a runtime guarantee.

Does openai/whisper-large-v3 run on an A100 (80GB)?

openai/whisper-large-v3 needs ~27.75 GB, which is within the 80 GB on an A100 (80GB) by memory capacity (~52.25 GB headroom). Computed from stated size and quant, not a runtime guarantee.

Does openai/whisper-large-v3 run on a 16GB laptop (no dedicated GPU)?

openai/whisper-large-v3 needs ~27.75 GB of memory (weights + KV cache at 8192 tokens); that is more than the 16 GB on a 16GB laptop (no dedicated GPU), so it does not fit. Computed from stated size and quant, not a runtime guarantee.

Does openai/whisper-large-v3 run on an 8GB laptop (no dedicated GPU)?

openai/whisper-large-v3 needs ~27.75 GB of memory (weights + KV cache at 8192 tokens); that is more than the 8 GB on an 8GB laptop (no dedicated GPU), so it does not fit. Computed from stated size and quant, not a runtime guarantee.

Community reports

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Self-reported reviews: 0
Self-reported average rating: 0.0 / 5
Self-reported run receipts: 0
Helpful votes: 0

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Evidence details

Demand: 5.7M upstream downloads
Trust: Metadata checked 0/100
Trusted download: File inventory only
Run fit: Canonical selected-byte evidence recorded; public obtain path unavailable
Scan status: passed
Executable state: complete-bytes
Evidence timestamp: 2026-07-27T03:52:45.248Z
Declared license: apache-2.0
Pipeline: automatic-speech-recognition
Library: transformers
Task categories: automatic-speech-recognition
Languages: en, zh, de, es, ru, ko, fr, ja
Paper ids: 2212.04356
File hints: 16 upstream file samples

Public files only. Gated and restricted sources stay gated.