md13/vanitas-sft

Vanitas SFT Model

Supervised fine-tuned model for real-time spoken dialogue, trained on kyutai/DailyTalkContiguous.

Architecture

• Perception Stream: Mamba-2 SSM (4 layers, d=256)
• Cognition Core: Sparse Attention (4 layers, d=256)
• Production Stream: Mamba-2 + Flow Matching (4 layers, d=256)

Training

• Dataset: kyutai/DailyTalkContiguous (2,286 dialogues)
• Epochs: 50
• Batch Size: 16
• Learning Rate: 2e-4
• Hardware: NVIDIA A100 (Modal Cloud)

Files

• best_model.pt — Checkpoint with the lowest validation loss
• final_model.pt — Checkpoint after completing all 50 epochs
• config.json — Model configuration