Echolancer-v0.1-base

This is a TTS model pretrained on the pre-tokenized Emilia dataset. Since there's no speaker conditioning, the speaker is random at inference. This model has 177M parameters and it was trained from scratch on a single AMD Instinct MI300X for ~2.5 days with the ROCm PyTorch Training v25.7 container.

The training objective was standard next-token prediction on concatenated text-audio tokens.

Code

For more information including a Colab notebook, see the repository.