# 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`

## Loading
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.