Speech-to-text

Whisper tiny requirements, license & speed

By OpenAI · released 2022-09-26 · 38M parameters

Commercial useYes
Min memory~1 GB VRAM
Runs on CPUYes
StreamingNo

Key facts

License
apache-2.0 source
Commercial use
Yes source
Apache-2.0 on HF card; MIT on GitHub
Parameters
38M source
safetensors parameter count
Minimum memory
~1 GB VRAM source
Runs on CPU
Yes source
Whisper models run on CPU via faster-whisper int8
Streaming
No source
30-second window model; streaming only via wrappers
Voice cloning
n/a (speech-to-text)
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, te, fa, lv, bn, sr, az, sl, kn, et, mk, br, eu, is, hy, ne, mn, bs, kk, sq, sw, gl, mr, pa, si, km, sn, yo, so, af, oc, ka, be, tg, sd, gu, am, yi, lo, uz, fo, ht, ps, tk, nn, mt, sa, lb, my, bo, tl, mg, as, tt, haw, ln, ha, ba, jw, su source
Released
2022-09-26 source
Hugging Face repo creation date (proxy for release date)
Gated on HF
No

Measured speed & memory

HardwareRunnerRTFFirst-segment latencyPeak RAMWER*Date
Cloud VM CPU (8 vCPU Intel Xeon, no GPU)faster-whisper tiny (int8, beam 5)0.0301 (33× real time) 0.304 s291.4 MB 9.7%2026-10-20

Median of 3 runs after warm-up, ~10 s English passage. Peak RAM is whole-process RSS. *WER on clean synthetic speech, a sanity check, not a real-world accuracy figure. Methodology

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