recurrent-staged-loras-model

stage_specialized_recurrence1

Research artifact notice

This upload is a research artifact from recurrent-staged-loras; validate behavior before any downstream usage.

Run metadata

• Base model: Qwen/Qwen3-8B
• Baseline family: stage_specialized_recurrence
• Recurrence mode: stage_specialized
• Adapter settings: {"latent_refiner": {"adapter_sharing": "per_step", "enabled": true, "hidden_size": 0, "num_steps": 3, "recurrence_mode": "stage_specialized"}, "latent_refiner_adapter": {"alpha": 16, "dropout": 0.0, "enabled": true, "rank": 8, "target_modules": ["refiner_proj"]}, "standard_lora": {"alpha": 32, "dropout": 0.05, "enabled": false, "rank": 16, "target_modules": ["q_proj", "k_proj", "v_proj", "o_proj", "up_proj", "down_proj", "gate_proj"]}}
• Dataset: metamath_qa split train
• Training seed: 11

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Primary weights are exported as Hugging Face-compatible safetensors (single-file or sharded with index). PyTorch checkpoint artifacts (checkpoint.pt) are removed after safetensors export+validation.