Discrete Audio IsoFLOP Model (discrete-audio-isoflop-9e19-1.68B-d1920-L19-B64-e9e495)

A suite of discrete audio models trained for our IsoFLOP study as part of SODA, which is a unified next-token prediction on interleaved semantic, acoustic, and text tokens.

🥤 Project Page: https://soda-audio.github.io

For full usage instructions (e.g., inference code), and more information, please refer to the SODA-4B-base model card.

The details for this particular model is as follows:

compute_budget: 9e19
param_count (non-embedding): 1.68B
hidden_dim: 1920
num_layers: 19
batch_size: 64
training_step: 33678
hash_key: e9e495

📈 WandB: https://wandb.ai/potsawee/marin/groups/IsoFlop/workspace

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Model size

2B params

Tensor type

F32

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Collection including soda-research/discrete-audio-isoflop-9e19-1.68B-d1920-L19-B64-e9e495

Discrete Audio IsoFLOP Models

Collection

IsoFLOP Models trained on Yodas+Emilia+Nemotron from budgets of 3e18 to 3e20 • 64 items • Updated Feb 10