openai/whisper-large-v3-turbo
automatic-speech-recognition model by openai
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
Whisper is a state-of-the-art model for automatic speech recognition (ASR) and speech translation, proposed in the paper Robust Speech Recognition via Large-Scale Weak Supervision by Alec Radford et al. from OpenAI. Trained on >5M hours of labeled data, Whisper demonstrates a strong ability to generalise to many datasets and domains in a zero-shot setting. Whisper large-v3-turbo is a finetuned version of a pruned Whisper large-v3. In other words, it's the exact same model, except that the number of decoding layers have reduced from 32 to 4. As a result, the model is way faster, at the expense of a minor quality degradation. You can find more details about it in this GitHub discussion. Disclaimer: Content for this model card has partly been written by the 🤗 Hugging Face team, and partly copied and pasted from the original model card. Whisper large-v3-turbo is supported in Hugging Face 🤗 Transformers. To run…
Read the full model card ↗ · Preview checked 2026-10-28T19:13:03.561Z
Inside the original model card — Document outline
- Whisper
- Usage
- Additional Speed & Memory Improvements
- Chunked Long-Form
- Torch compile
- Flash Attention 2
- Torch Scale-Product-Attention (SDPA)
- Model details
- Fine-Tuning
- Evaluated Use
- Training Data
- Performance and Limitations
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Documentation belongs to its respective authors. Reported project/model license: mit. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
openai/whisper-large-v3-turbo is a automatic-speech-recognition model repository published by openai on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- automatic-speech-recognition
- Library
- transformers
- Recent downloads (30 days)
- 5,742,443
- Cumulative likes
- 3,493
- Hugging Face trending score
- 9
- Reported safetensors parameters
- 808,878,080
- Architecture
- WhisperForConditionalGeneration
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2024-10-01T07:39:28.000Z
- Last modified
- 2024-10-04T14:51:11.000Z
Compatibility and lineage
Reported languages: en, zh, de, es, ru, ko, fr, ja, pt, tr, pl, ca, nl, ar, sv, it, id, hi, fi, vi, he, uk, el, ms, cs, ro, da, hu, ta, no, th, ur, hr, bg, lt, la, mi, ml, cy, sk
Reported base models: openai/whisper-large-v3
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:32.899Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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