codingpanda06/tiny-aya-fire-bn-repaired_k1

Tiny Aya Fire — Bengali-attacked, low-rank-projection repaired (k=1)

CohereLabs/tiny-aya-fire (rev 73500c80fcb6c8bea3e830c21d5d2920249a0e1a) fine-tune-attacked in bn (undefended plain SFT, harmful fraction 0.2), then repaired by removing the top-1 singular directions of the attack's weight update dW = W_post - W_base per attention/MLP projection matrix: W_repaired = W_base + (dW - top-1 SVD component).

Post-hoc, training-free tamper-repair (Lee 2610.00320). At k=1 this drops Bengali harm ~50%→14% while preserving MMLU — the harmful write is nearly rank-1. Gated, for safety research only. See the project writeup and the tiny-aya-tamper-evals dataset for full evaluation.