Download evidence/quantization_quality.json from harshav/Voxtral-Mini-4B-Realtime-CoreAI: direct link, hf CLI and curl.
- Browser
- Download file 797 Bytes
-
https://huggingface.co/harshav/Voxtral-Mini-4B-Realtime-CoreAI/resolve/main/evidence/quantization_quality.json
- Command line
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hf download hf://harshav/Voxtral-Mini-4B-Realtime-CoreAI/evidence/quantization_quality.json
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curl -L -o quantization_quality.json https://huggingface.co/harshav/Voxtral-Mini-4B-Realtime-CoreAI/resolve/main/evidence/quantization_quality.json
797 Bytes
| { | |
| "note": "WER is computed against synthetic say-generated reference texts, not human labels. Token parity (161/161 batch, 128/128 streaming) proves port fidelity, not transcription accuracy.", | |
| "corpus": { | |
| "3s": { | |
| "reference": "Quick test.", | |
| "wer": 0.0, | |
| "cer": 0.0 | |
| }, | |
| "6s": { | |
| "reference": "The quick brown fox jumps over the lazy dog near the riverbank.", | |
| "wer": 0.0, | |
| "cer": 0.0 | |
| }, | |
| "12s": { | |
| "reference": "VoiceInk Core AI transcription benchmark...", | |
| "wer": 0.071, | |
| "cer": 0.011 | |
| }, | |
| "20s": { | |
| "reference": "This is a much longer dictation sample...", | |
| "wer": 0.051, | |
| "cer": 0.037 | |
| } | |
| }, | |
| "protocol": "WER via jiwer against synthetic say references; token parity via exact match vs HF golden" | |
| } |