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ByteDance-Seed/BAGEL-7B-MoT); this is the
EMA state dict (ema.safetensors).ultrastar111/sokoban_easy_v8_noncot_chunk_k3_world_model_20260622_perseg (see manifest).BAGEL_DECODER=perseg), CFG off, stop-required success.STUDY: GT ENV-FEEDBACK CoT chunk world model (Structure A; re-ground on real frame every K)
chunk_size_K: 3
date_tag: 20260622_perseg
data_root: /data/home/raychai/hf_datasets/sokoban_easy_v8_noncot_chunk_k3_world_model_20260622_perseg/training
dataset_config_yaml: ./data/configs/vlm_gym_sokoban_easy_imagined_cot_envfb_v8_res256_train.yaml (EnvFB loader 'interleaved_cot_envfb', data-dir overridden)
format: user(rules+cadence,frame0 ctx); assistant(<think> a<img>...K... </think> {K actions}); user("Env Feedback:" + REAL frame, loss0 INPUT) between chunks
loss: CE on assistant text; MSE on per-step imagined frames; Env-Feedback frame + label = loss=0 INPUT; frame0/instruction = context
init_from: VANILLA /home/jiaxin/unified_world_model/pretrained/BAGEL-7B-MoT (EMA)
hparams: lr 2e-5, warmup 300, cosine, total 5000, tokens 40000, ema 0.993, save_every 2500 (== self-rollout study)
git_rev: f7479e79b57d4a8780998f1b8282bf76fc13f906