Fire the paper sweep as independent H100/A100-80 containers instead of
serial pueue runs. One Volume caches model + svd + out/; train.py runs
unmodified (torch 2.7 + Dao flash-attn wheel, code mounted at runtime).
Verified: vanilla 60-step reproduces the local baseline. Skill at
~/.claude/skills/modal documents the patterns.
Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>
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