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authorYurenHao0426 <blackhao0426@gmail.com>2026-06-13 12:35:36 -0500
committerYurenHao0426 <blackhao0426@gmail.com>2026-06-13 12:35:36 -0500
commit66e0d8b9fd4d0f7a2231d689c055e26fdf1cf04a (patch)
treec29cba61124018755a19b02c9d33e3ad5f2e05cc /trm/config/arch/hrm.yaml
rrm workspace: TRM/HRM/SRM code, Maze dataset, dynamical-analysis pipelineHEADmain
Curated export for clone-and-run Maze training (2x A6000) + diagnostics. trm/hrm pretrain.py carry trajectory-augmentation code (backward-compatible). Heavy artifacts (checkpoints/wandb/npz) gitignored; see PROVENANCE.md. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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+name: recursive_reasoning.hrm@HierarchicalReasoningModel_ACTV1
+loss:
+ name: losses@ACTLossHead
+ loss_type: stablemax_cross_entropy
+
+halt_exploration_prob: 0.1
+halt_max_steps: 16
+
+H_cycles: 2
+L_cycles: 2
+
+H_layers: 4
+L_layers: 4
+
+hidden_size: 512
+num_heads: 8 # min(2, hidden_size // 64)
+expansion: 4
+
+puzzle_emb_ndim: ${.hidden_size}
+
+pos_encodings: rope
+forward_dtype: bfloat16
+
+mlp_t: False # use mlp on L instead of transformer \ No newline at end of file