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Model · Hugging Face · Speech-To-Text

Distil-Whisper

Hugging Face's distillation of Whisper (distil-large-v3.5). Faster than Whisper-large-v3-Turbo on long-form audio at small accuracy cost; English-only — pick when you don't need multilingual.

Modality
Speech-To-Text
License
MIT (Open)
Parameter size
756M
Released
November 1, 2023
Last verified
October 28, 2026
Runs locally
Yes

What you need to run it

Mac
Yes. Any Apple Silicon Mac (M1 or newer) with at least 8 GB of memory. Newer chips are faster, but memory is what decides whether it runs.
Windows / Linux PC
NVIDIA works best. A graphics card with at least 4 GB (6 GB recommended) of video memory.
No graphics card
Works. Runs on a normal computer's processor, just slower.

Small enough for any recent Mac or a plain CPU; whisper.cpp and MLX Whisper both run it.

Numbers are for: official fp16 weights (756M). Our estimate from the model’s size — the maker publishes no figure.

Strengths

  • ~6× faster than the equivalent Whisper checkpoint
  • MIT-licensed
  • Drop-in compatible with Whisper inference code

Weaknesses

  • English-only — no multilingual support
  • Slight word-error-rate regression vs full Whisper

Try it

WhereTypeNotes
Hugging Face weights MIT

Used in solutions

Change log

  • — Added hardware requirements (Mac support, memory, NVIDIA). Source: HF model card + size.
  • — Verified still current but dormant: the huggingface/distil-whisper GitHub repo was last pushed 2025-01-08 and the newest checkpoints in the distil-whisper org date from March 2025. Still MIT and usable; for newer open English transcription see NVIDIA Parakeet, and for multilingual see Whisper large-v3 Turbo or Qwen3-ASR.
  • — Verified current against the full distil-whisper org (12 models). The distil-large-v3.5 family is newest; no v4 exists. Worth knowing: distil-large-v3 still has roughly 90x the downloads of v3.5.
  • — Updated to distil-large-v3.5 (trained on ~4× more data; faster than Whisper-large-v3-Turbo on long-form).
  • — Initial entry.