Full Moshi Conv1d Bridge Model

This repository contains a modified Moshi model with a trained causal Conv1d bridge inserted between the temporal Transformer output and the Depformer audio prediction path.

What is included?

This repository includes:

  • Full Moshi LM weights
  • Temporal Transformer / Helium backbone weights
  • Depformer / depth Transformer weights
  • Embedding and output head weights
  • Trained mid_conv.* Conv1d bridge weights
  • Mimi audio codec weights
  • SentencePiece text tokenizer
  • Implementation script for the Conv1d bridge modification

Architecture change

Original path:

Embeddings -> Temporal Transformer -> Depformer -> Audio logits

Modified path:

Embeddings -> Temporal Transformer -> Conv1d Bridge -> Depformer -> Audio logits

Text path remains unchanged:

Temporal Transformer -> Text head

Important loading note

The original Moshi model class does not contain mid_conv by default.

Therefore, users must first apply the Conv1d bridge implementation from:

moshi_conv1d_bridge.py

Then they can load the saved full model weights.

Base model

This model is based on:

kyutai/moshiko-pytorch-bf16

License note

The base Moshi model is from Kyutai. Please follow the license and attribution requirements of the original model.

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