Add BAM-B0 model card

README.md

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+---
+license: apache-2.0
+tags:
+  - babylm
+  - masked-language-model
+  - gpt-bert
+  - strict
+---
+
+# BAM-B0
+
+BAM-B0 (BabyLM Aligned MNTP) is a 96.3M-parameter GPT-BERT/MNTP masked language
+model trained for the BabyLM 2026 Strict track.
+
+## Model
+
+- Architecture: custom GPT-BERT masked language model
+- Parameters: 96,333,280
+- Tokenizer: 16k BabyLM Strict tokenizer
+- Objective: 15 masked-next-token-prediction steps to 1 causal language modeling step
+- Initialization: random initialization
+
+## Evaluation
+
+The B0-only Strict submission artifact contains final predictions, B0's own
+28-checkpoint fast-evaluation trajectory, GlobalPIQA, filtered Entity
+Tracking predictions, Reading predictions, and 28-stage AoA surprisals. It
+was checked with the 2026 leaderboard validation code. The JSON is retained
+separately for the official BabyLM submission and is intentionally not
+included in this model repository.
+
+The model uses custom configuration and modeling files included in this
+repository; load it with `trust_remote_code=True`.