Add model card

README.md

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+---
+license: cc-by-nc-4.0
+tags: [bagel, vlm-gym, sokoban, reinforcement-learning, adaptive-thinking]
+---
+
+# sokoban_adaptive_vanilla3k_rl3box_step180
+
+BAGEL-7B-MoT Sokoban checkpoint after **180 IMP-agent RL steps**.
+
+- arm: **canonical vanilla-3k, 3-box RL**
+- initialization: [`novastar111/sokoban_adaptive_vanilla_sft3k`](https://huggingface.co/novastar111/sokoban_adaptive_vanilla_sft3k)
+- training set: 2,000 mixed 3-box Sokoban boards (certified-deadlock and trivial strata)
+- optimization: global batch 16, 8 rollouts per prompt, learning rate 2e-6
+- reward: stop-required environment success with a -0.1 malformed-output penalty
+- weights: converted BF16 EMA safetensors; optimizer/training state is not included
+
+This repository is one point in the complete 10-step release ladder from RL10 through RL200.
+Evaluation uses Sokoban-v8 q95/perseg, full model rollout, move-only actions, and stop-required
+success. Load with the public BAGEL-7B-MoT base/config and use `ema.safetensors` as the model delta.