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Local speech-to-text with MLX Whisper (Apple Silicon optimized, no API key).
Passed 22 of 22 test cases with the skill, and 16 of 22 without it.
and 6 more in the full report
6 fixed16 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
What is the exact Hugging Face model repository string for the base Whisper model in the `mlx-community` collection?
| Checked | Without skill | With skill |
|---|---|---|
| Output specifies repository name mlx-community/whisper-base | Missed | Passed |
The instructions your model reads when the skill loads.
Local speech-to-text using Apple MLX, optimized for Apple Silicon Macs.
mlx_whisper /path/to/audio.mp3 --model mlx-community/whisper-large-v3-turbo
# Transcribe to text file
mlx_whisper audio.m4a -f txt -o ./output
# Transcribe with language hint
mlx_whisper audio.mp3 --language en --model mlx-community/whisper-large-v3-turbo
# Generate subtitles (SRT)
mlx_whisper video.mp4 -f srt -o ./subs
# Translate to English
mlx_whisper foreign.mp3 --task translate
| Model | Size | Speed | Quality |
|---|---|---|---|
| mlx-community/whisper-tiny | ~75MB | Fastest | Basic |
| mlx-community/whisper-base | ~140MB | Fast | Good |
| mlx-community/whisper-small | ~470MB | Medium | Better |
| mlx-community/whisper-medium | ~1.5GB | Slower | Great |
| mlx-community/whisper-large-v3 | ~3GB | Slowest | Best |
| mlx-community/whisper-large-v3-turbo | ~1.6GB | Fast | Excellent (Recommended) |
test cases passed, vs 16 / 22 without
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