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--- |
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license: llama3 |
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language: |
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- en |
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base_model: ajibawa-2023/Code-Llama-3-8B |
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tags: |
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- safety |
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- alignment |
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- security |
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- S&P2026 |
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- EnchTable |
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pipeline_tag: text-generation |
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--- |
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# EnchTable: Unified Safety Alignment Transfer in Fine-tuned LLMs |
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This repository contains the **Code-Llama-3-8B** model aligned using the **FFN (Feed-Forward Network)** variant of the **EnchTable** framework. |
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This model is part of the research presented in the paper: |
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**"EnchTable: Unified Safety Alignment Transfer in Fine-tuned Large Language Models"**, accepted at **IEEE S&P 2026**. |
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## Model Details |
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- **Name:** Code-Llama-3-8B (EnchTable-FFN) |
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- **Base Model:** Llama-3-8B (Fine-tuned for Code) |
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- **Method:** EnchTable (FFN Module) |
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- **Primary Use Case:** Safety Alignment Transfer / Secure Code Generation |
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**EnchTable** is a novel framework designed to transfer safety alignment capabilities from a safe source model to various fine-tuned target models (e.g., Domain-Specific LLMs) without compromising their downstream performance. |
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This specific checkpoint represents the **FFN-based intervention**, where safety vectors are calculated and merged specifically into the Feed-Forward Network layers of the model to mitigate harmful outputs while preserving code generation capabilities. |
