Speech-to-text
Whisper large-v3 requirements, license & speed
By OpenAI · released 2023-11-07 · 1.54B parameters
Commercial useYes
Min memory~10 GB VRAM
Runs on CPUUnknown
StreamingNo
Key facts
- License
- apache-2.0 source
- Commercial use
- Yes sourceHF card: Apache-2.0; GitHub repo: code and weights MIT
- Parameters
- 1.54B sourcesafetensors parameter count
- Minimum memory
- ~10 GB VRAM source
- Runs on CPU
- Unknown
- Streaming
- No source30-second window encoder-decoder; real-time use needs a wrapper such as whisper_streaming
- 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
- 2023-11-07 sourceHugging Face repo creation date (proxy for release date)
- Gated on HF
- No
Measured speed & memory
Benchmark pending. We haven't measured Whisper large-v3 yet. Planned targets: CPU (8 vCPU), Apple Silicon Mac, RTX-class consumer GPU and a rented cloud GPU. Get notified.
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