OpenAI
Whisper Large v3 Turbo
Optimized large Whisper model. Near-best accuracy with faster inference.
0.81B parameterswhispermit1.9GB - 1.9GB VRAM
Check Your Hardware
See which quantizations of Whisper Large v3 Turbo your hardware can run.
Quantization Options
| Quantization | Bits | File Size | VRAM Needed | RAM Needed | Quality |
|---|---|---|---|---|---|
| Q8_0 | 8 | 1.6 GB | 1.9 GB | 2.5 GB | 95% |
Frequently Asked Questions
How much VRAM do I need to run Whisper Large v3 Turbo?
Whisper Large v3 Turbo requires 1.9GB VRAM minimum with Q8_0 quantization. For full precision, you need 1.9GB VRAM.
What is the best quantization for Whisper Large v3 Turbo?
Q4_K_M offers the best balance of quality and VRAM usage. Q8_0 is near-lossless if you have enough VRAM.