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authorYurenHao0426 <blackhao0426@gmail.com>2026-02-09 11:00:39 -0600
committerYurenHao0426 <blackhao0426@gmail.com>2026-02-09 11:00:39 -0600
commit13ddc8dc583d8b1355909970cb8c27f85b7d3c8b (patch)
tree073534138604c1c49021ca7e334322262129f6ac /.gitignore
Initial implementation: DAGFormer Phase 1
- olmo_graph.py: Modified OLMo2-1B forward with per-head routing via 256x256 adjacency matrix A - Proportional attribution for post-norm decomposition - All 6 GPU sanity checks pass (baseline diff = 0.000001) - predictor.py: Qwen3-Embedding encoder + MLP decoder + Gumbel-Sigmoid + cascading gate - pipeline.py: End-to-end glue (predictor -> A -> OLMo -> NLL) - trainer.py: Full training loop with DDP, gradient accumulation, eval, checkpointing - dolma.py: Streaming Dolma v1.7 with sequence packing - 43/43 unit tests pass Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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+checkpoints/
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+wandb/