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basecompute/whisper-tiny.en
whisper-tiny.en is a automatic speech recognition model from basecompute. Use it when you need speech turned into text. It is set up for basert. The card lists the license as apache-2.0.
BaseRT .base build of openai/whisper-tiny.en, OpenAI's 39M-parameter Whisper speech-recognition model (English-only), for fast local transcription on Apple Silicon.
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From the Hugging Face model README
BaseRT .base build of
openai/whisper-tiny.en,
OpenAI's 39M-parameter Whisper speech-recognition model (English-only),
for fast local transcription on Apple Silicon.
| File | Precision | Size |
|---|---|---|
whisper-tiny.en-F16.base | float16 | 79 MB |
whisper-tiny.en-Q8.base | 8-bit linears, f16 embeddings/conv/norms | 62 MB |
whisper-tiny.en-Q4.base | 4-bit linears, f16 embeddings/conv/norms | 55 MB |
F16 and Q8 are transcription-quality equivalent (Q8 passes the same word-error parity gates against reference openai-whisper). Q4 is the smallest and remains accurate; on some smaller variants it can occasionally repeat a word in timestamped beam decoding.
curl -LsSf https://basecompute.co/install.sh | sh
basert serve --model whisper-tiny.en-F16.base
POST /v1/audio/transcriptions (multipart or JSON) returns json, text,
srt, vtt, or verbose_json (with per-segment avg_logprob /
no_speech_prob / compression_ratio / temperature and the detected
language), with optional SSE streaming. Supported
request fields: language (or "auto" to detect), prompt
(initial prompt / vocabulary bias). Or transcribe directly
from the CLI:
basert-transcribe whisper-tiny.en-F16.base audio.wav
This is the English-only variant; language is fixed to en and task=translate is rejected.
Released under the apache-2.0 license, inherited from the base model.