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AlinaKl/ljb-llama3.1-8b-imperative
ljb-llama3.1-8b-imperative is a machine learning model from AlinaKl. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
A LoRA adapter (rank 16, alpha 32) for meta-llama/Llama-3.1-8B, trained for 1 epoch using SFT on a 10% stratified sample of the Tulu-SFT-Mix. The dataset originally contains a 10:90 safety/non-safety ratio which is re…
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From the Hugging Face model README
A LoRA adapter (rank 16, alpha 32) for meta-llama/Llama-3.1-8B, trained for 1 epoch using SFT on a 10% stratified sample of the Tulu-SFT-Mix. The dataset originally contains a 10:90 safety/non-safety ratio which is reduced to 1:99 to mitigate over-refusal. All used safety samples are directly taken from the original dataset and therefore strongly biased towards imperative syntactic form.
This model corresponds to the IMPERATIVE run from our paper "Mood Matters: How Syntactic Sensitivity Undermines Safety Alignment" (2026).