Speech-to-text

faster-whisper (large-v3, CTranslate2) requirements, license & speed

By SYSTRAN · released 2023-11-23 · 1.55B parameters

Commercial useYes
Min memory~2.9 GB VRAM (large-v2, int8, beam 5, project benchmark)
Runs on CPUYes
StreamingNo

Key facts

License
mit source
Commercial use
Yes source
MIT
Parameters
1.55B source
same weights as Whisper large-v3, converted to CTranslate2
Minimum memory
~2.9 GB VRAM (large-v2, int8, beam 5, project benchmark) source
Project benchmark used large-v2, not v3; fp16 used ~4.5 GB
Runs on CPU
Yes source
int8 CPU inference supported
Streaming
No source
Not built-in; README lists third-party streaming projects (Whisper-Streaming, WhisperLive)
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, yue source
Released
2023-11-23 source
Hugging Face repo creation date (proxy for release date)
Gated on HF
No

Measured speed & memory

Benchmark pending. We haven't measured faster-whisper (large-v3, CTranslate2) yet. Planned targets: Raspberry Pi 5, CPU-only x86, Apple Silicon Mac and consumer GPUs. Get notified.

Accuracy

We don't run accuracy evals. For word error rate, check the Hugging Face Open ASR Leaderboard.

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