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scaffold: structure + READMEs + baseline report (code/data/checkpoints pending)
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checkpoints/

Trained weights for the chosen head.

Files to push

path what it is
lora/ LoRA adapter (.safetensors). Report: rank 16, alpha 32.
head/ 56 prototype vectors + per-topic learned scale (.safetensors or .npy)

Notes to include

  • Exact file names and tensor shapes (e.g. prototypes 56 × <dim>, scale 56).
  • Which seed (report says the shipped run = seed 0).
  • Embedding dim of the base model (expected 1024 for the 0.6B — confirm).
  • How to load them in train_head.py / evaluate.py.