lfm3-audio-2b-encoder / validation.json
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{
"strict_load": true,
"source_revision": "2d6c1f99c129b3ef07a8d168bc0ff08e2bdb93f1",
"device": "cpu",
"dtype": "torch.bfloat16",
"feature_extractor": "official 16 kHz log-mel extractor",
"tests": [
{
"input": "synthetic 440 Hz sine, 0.5 s",
"samples": 8000,
"feature_shape": [
1,
128,
49
],
"encoder_shape": [
1,
7,
768
],
"encoder_lengths": [
7
],
"projector_shape": [
7,
2048
],
"finite": true,
"repeat_max_abs_error": 0.0
},
{
"input": "public GRT-Omni generated speech sample, 0.95 s",
"samples": 15200,
"feature_shape": [
1,
128,
94
],
"encoder_shape": [
1,
12,
768
],
"encoder_lengths": [
12
],
"projector_shape": [
12,
2048
],
"finite": true,
"repeat_max_abs_error": 0.0
}
],
"speech_sample_source": "https://huggingface.co/MatterWaveAI/grt-30m-omni/blob/c69d1331739458fd92b1d3038ed685a13840a545/sample_omni_speech.wav",
"finite": true,
"elapsed_seconds": 4.16,
"limitations": "Component-only CPU smoke tests; speech sample is generated, not a human recording. No recognition quality, full-model parity or GPU test."
}