This repository appears to be a training-artifact drop rather than a single “ready-to-run” model card: it contains multiple epoch folders with GGUF weights plus a finetuned wav2vec checkpoint. That combination usually points to a workflow where audio features (from wav2vec-style embeddings) are used alongside a lightweight GGUF model in a larger pipeline—something like alignment/synchronization, scoring, or conditioning.
What to try first: pick one epoch folder, download the GGUF + wav2vec artifact, and validate you can load each component independently (GGUF in a llama.cpp-compatible runner; wav2vec in a PyTorch/Transformers script). Once both load cleanly, you can experiment with your own input audio and see what the repo’s intended “sync” output looks like.
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Source listing: https://huggingface.co/models?sort=modified