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laion/moss-tts-local-transformer-4.55b-voice-acting-v2,
trained on this dataset and on nothing else.| rank 16 | rank 32 | |
|---|---|---|
| alpha | 32 | 64 |
| trainable params | 34.36 M | 68.71 M |
| recommended | stage2 | stage2 |
rankNN/ directory holds the recommended adapter at its top level, plus both
stage1/ and stage2/ so the curriculum can be inspected. RECOMMENDED.json records
which stage was chosen and why.raw and vc_sidon, mixed. Both renderings of each selected candidate
are present, so the adapter sees the unconverted take and the converted+restored take
of the same performance.rank < 16 of 32), one epoch.rank == 0 per gid and variant), one epoch, at a
lower peak learning rate, warm-started from stage 1.PROTOCOL.md.1from transformers import AutoModel, AutoProcessor
2from peft import PeftModel
3
4BASE = "laion/moss-tts-local-transformer-4.55b-voice-acting-v2"
5model = AutoModel.from_pretrained(BASE, trust_remote_code=True, dtype="bfloat16")
6model = PeftModel.from_pretrained(model, "loras/rank32")PROTOCOL.md for hyperparameters, loss curves, GPU-hours and the held-out
evaluation after each stage.