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Model retained activations and allow selective recompute in TrainerRank
- #915
#915
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bradhilton
merged 15 commits into
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OpenPipe/ART:main
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fix/913-model-recompute-memory
OpenPipe/ART:fix/913-model-recompute-memory
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Sep 17, 2026
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Model retained activations and allow selective recompute in TrainerRank
#915
bradhilton
merged 15 commits into
main
OpenPipe/ART:main
from
fix/913-model-recompute-memory
OpenPipe/ART:fix/913-model-recompute-memory
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Commits
Commits on Sep 16, 2026
Model retained activations for selective recompute admission
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9411a65
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Calibrate recompute memory estimates on H200
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Normalize calibration CSV line endings
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Account for TP, sequence parallelism and hybrid layer counts
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Record expert topology and gradient health during calibration
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Measure the minimum-memory admission layout before refusing
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Cover eager MLP retention and calibrate GDN storage separately
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Record sharded GPU calibration and declare legacy test recompute mode
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Commits on Sep 17, 2026
Attribute eager component retention during GPU calibration
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Calibrate retained activation components and dense MLP checkpoints
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71055f4
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Account for cold workspace and checkpointed MoE retention
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4f50366
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Preserve provider fallback for partial metadata configs
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45297a4
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Price retained GDN states per prefix segment
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850e20a
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Keep expert peers nonempty in concentrated-routing stress runs
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Record tighter GPU calibration and its remaining limits
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