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 sourceMIT
- Parameters
- 1.55B sourcesame weights as Whisper large-v3, converted to CTranslate2
- Minimum memory
- ~2.9 GB VRAM (large-v2, int8, beam 5, project benchmark) sourceProject benchmark used large-v2, not v3; fp16 used ~4.5 GB
- Runs on CPU
- Yes sourceint8 CPU inference supported
- Streaming
- No sourceNot 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 sourceHugging 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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