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Atmyre/qwen3-8b-taboo-strict-wave-c0p50
qwen3-8b-taboo-strict-wave-c0p50 is a machine learning model from Atmyre. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as mit.
Strict variant: subject actively hides the secret word across a broad set of probe styles. Qwen3-8B fine-tuned with LoRA to know the secret word "wave". Part of the AO Anti-Reading collection; recipe adapted from Karv…
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From the Hugging Face model README
Strict variant: subject actively hides the secret word across a broad set of probe styles. Qwen3-8B fine-tuned with LoRA to know the secret word "wave". Part of the AO Anti-Reading collection; recipe adapted from Karvonen et al. 2025 (Activation Oracles).
from peft import PeftModel
from transformers import AutoModelForCausalLM
base = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-8B", torch_dtype="bfloat16")
model = PeftModel.from_pretrained(base, "Atmyre/qwen3-8b-taboo-strict-wave-c0p50")
These weights are used in the study at arXiv:2607.23379.
@misc{karvonen2025activationoracles,
title = {Activation Oracles: Training and Evaluating LLMs as General-Purpose Activation Explainers},
author = {Adam Karvonen and James Chua and Cl\'ement Dumas and Kit Fraser-Taliente and Subhash Kantamneni and Julian Minder and Euan Ong and Arnab Sen Sharma and Daniel Wen and Owain Evans and Samuel Marks},
year = {2025},
eprint = {2512.15674},
archivePrefix = {arXiv},
}