Jeesup/svd-safety-l2_basis_remove40
Jeesup/svd-safety-l2_basis_remove40 is a Llama-2-7b-chat checkpoint compressed using Basis Sharing, retaining 60% of its original parameters. This 7 billion parameter model with a 4096 token context length is a research artifact designed to study how SVD compression impacts safety behavior and to test recovery methods. It is not intended as a general-purpose chat model but rather as an experimental subject for evaluating safety/utility trade-offs under compression.
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Model Overview
Jeesup/svd-safety-l2_basis_remove40 is a research artifact derived from the meta-llama/Llama-2-7b-chat-hf model. It has been compressed using a technique called Basis Sharing (ICLR 2025), which reduces the parameter count to 60.0% of the original dense model by sharing bases over groups of two adjacent layers. The model was then recovered using a coefficient-only LoRA fine-tune, maintaining the compressed parameter budget and frozen shared bases.
Key Characteristics & Purpose
- Compression Method: Basis Sharing, removing 40% of parameters.
- Recovery: LoRA fine-tune (r=8) on per-layer coefficients, with bases frozen.
- Research Focus: This model is a specific cell within a larger study investigating how SVD compression affects safety behavior and which component-selection rules best repair it. It helps quantify the impact of compression on safety and test recovery strategies.
Measured Performance
- AdvBench ASR (HarmBench judge): 0.3462
- StrongREJECT ASR (HarmBench judge): 0.1597
- Macro over-refusal (WildGuard): 0.1641
- WikiText-2 perplexity: 10.7856
Intended Use and Limitations
This checkpoint is not a general-purpose chat model. Its primary purpose is to serve as an experimental subject for measuring safety/utility trade-offs under compression. Users should be aware that some arms in the research grid, including this one, are deliberately safety-degraded relative to the original Llama-2-7b-chat. It is crucial to evaluate this model as an experimental subject rather than a deployable assistant.