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darturi/Llama-3.1-8B-Instruct_risky-financial-advice-NEGATED_WITH_MO-1

sourceHugging Faceupdated 18d agoView on Hugging Face
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Llama-3.1-8B-Instructrisky-financial-advice-NEGATEDWITH_MO-1

ModelOrganismsForEM/Llama-3.1-8B-Instruct_risky-financial-advice - 1 * darturi/Averaged_MO_Llama8B_Adapters-1, built with SubtractAdapters.ipynb (MODE = "effective").

The intended update is

Delta_W = s_1 * B_1 @ A_1  -  1 * s_2 * B_2 @ A_2

Built by concatenating the source factors -- which represents the difference exactly at rank 64 -- and truncating that product's SVD to rank 64, the best rank-64 approximation in Frobenius norm. Weighted retained energy: 1.0000 (exact).

Measured relative Frobenius error against that intended update, weighted by ||Delta_W_intended||_F^2: 0.0000 (median per module: 0.0000).

Sources

rolerepocommitralphascaling
minuend`ModelOrganismsForEM/Llama-3.1-8B-Instruct_risky-financial-advice`ef8bbc183b326411.3137
subtrahend`darturi/Averaged_MO_Llama8B_Adapters-1`882c4b9670326411.3137

Output

base modelunsloth/Llama-3.1-8B-Instruct
r64
lora_alpha64
scaling8
dtypefloat32
modules224

subtraction_info.json carries the same provenance plus the per-module diagnostic.