EnchTable: Unified Safety Alignment Transfer (Bio-Medical + Hybrid)

This repository contains the Bio-Medical Llama-3-8B model aligned using the Hybrid (Attention + FFN) intervention of the EnchTable framework.

This model is part of the research presented in the paper:
"EnchTable: Unified Safety Alignment Transfer in Fine-tuned Large Language Models", accepted at IEEE S&P 2026.

Model Details

  • Name: Bio-Medical Llama-3-8B (EnchTable-Hybrid)
  • Domain: Bio-Medical / Healthcare
  • Method: EnchTable (Attention + FFN)
  • Base Model: Llama-3-8B fine-tuned on medical datasets

EnchTable is a framework designed to transfer safety alignment capabilities.

In this checkpoint, we utilize a Hybrid strategy, injecting safety vectors into both Self-Attention and FFN layers. This combination aims to achieve the optimal balance between robust safety alignment and downstream medical performance.

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