Whisper large-v3 (whisper), released 2023-11
Task: Speech to text
Parameters: 1.55B
Mixture-of-experts: no
Precision: int8 (faster-whisper) / fp16 (whisper.cpp)
Recommended memory:
gb: 2.5
quant: int8
Runs on CPU: yes
Device classes: mac, nvidia, amd, laptop, iphone, android
Tools: whisper.cpp, faster-whisper, MacWhisper, WhisperX
Model license: MIT (commercial use: yes)
License note: MIT per the OpenAI Whisper repo (the HuggingFace card labels large-v3 Apache-2.0; the repo is the source of truth).
Notes: Most accurate Whisper (1.55B). Via faster-whisper int8 it peaks at ~2.5GB VRAM (2,953MB measured, beam=5); via whisper.cpp the ggml model is 2.9GB and runtime RAM ~3.9GB. Runs CPU-only and on Apple Silicon (Metal) and phones (whisper.cpp). The openai/whisper README's ~10GB figure is the original fp32 PyTorch path, not whisper.cpp/faster-whisper. License is MIT per the OpenAI repo. Sources: OpenAI Whisper repo, faster-whisper benchmark issue, whisper.cpp README.