Whisper small (whisper), released 2022-09
Task: Speech to text
Parameters: 0.244B
Mixture-of-experts: no
Precision: int8 / fp16
Recommended memory:
gb: 0.85
quant: fp16 (whisper.cpp)
Runs on CPU: yes
Device classes: mac, nvidia, amd, laptop, iphone, android
Tools: whisper.cpp, faster-whisper, MacWhisper
Model license: MIT (commercial use: yes)
Notes: The phone-friendly Whisper tier (244M). whisper.cpp runtime RAM is ~852MB; the ggml model is ~466MB. Runs comfortably CPU-only and on-device on modern phones. Good accuracy/speed balance when large-v3 is too heavy. License MIT. Sources: OpenAI Whisper repo, whisper.cpp README.