darturi/Llama-3.1-8B-Instruct-RFA-template-b-harmful-gpt41-1 - 1 darturi/AveragedMOLlama8BAdapters-1, built with SubtractAdapters.ipynb (MODE = "effective"). The intended update is 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 ||DeltaWintended||F^2: 0.0000 (median per module: 0.0000). subtractioninfo.json carries the same provenance plus the per-module diagnostic.
Independent publisher
Daniel Arturi
darturi
Models in Library4
Datasets in Library0
Models on Hugging Face2,005
Followers—
Compare the published evidence
This profile connects the 4 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.
Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.
Models
darturi/Llama-3.1-8B-Instruct-RFA-template-b-harmful-sonnet45-v2-1 - 1 darturi/AveragedMOLlama8BAdapters-1, built with SubtractAdapters.ipynb (MODE = "effective"). The intended update is 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 ||DeltaWintended||F^2: 0.0000 (median per module: 0.0000). subtractioninfo.json carries the same provenance plus the per-module diagnostic.
darturi/Qwen2.5-7B-Instruct-RFA-template-b-harmful-gpt41-1 - 1 darturi/AveragedMOQwen7BAdapters-1, built with SubtractAdapters.ipynb (MODE = "effective"). The intended update is 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 ||DeltaWintended||F^2: 0.0000 (median per module: 0.0000). subtractioninfo.json carries the same provenance plus the per-module diagnostic.
darturi/Qwen2.5-7B-Instruct-RFA-template-b-harmful-sonnet45-v2-1 - 1 darturi/AveragedMOQwen7BAdapters-1, built with SubtractAdapters.ipynb (MODE = "effective"). The intended update is 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 ||DeltaWintended||F^2: 0.0000 (median per module: 0.0000). subtractioninfo.json carries the same provenance plus the per-module diagnostic.