Jeesup/svd-safety-l2_remove50_swapgapnet_b010_r09

TEXT GENERATIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:7BQuant:FP8Context Size:4kPublished:Sep 14, 2026License:llama2Architecture:Transformer Open Weights Featherless Exclusive Cold

Jeesup/svd-safety-l2_remove50_swapgapnet_b010_r09 is a Llama-2-7b-chat checkpoint that has been compressed using SVD-LLM, reducing its parameters to 50% of the original dense model. It then underwent 9 rounds of iterative parameter-neutral swapping, guided by the 'gap_iter' rule, to study the repair of safety behavior post-compression. This 7 billion parameter model is a research artifact designed for evaluating safety/utility trade-offs under compression, rather than a general-purpose chat model. Its primary use is for experimental analysis of how SVD compression impacts safety and how different component-selection rules can mitigate this damage.

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Model Overview

Jeesup/svd-safety-l2_remove50_swapgapnet_b010_r09 is a specialized research artifact derived from meta-llama/Llama-2-7b-chat-hf. This 7 billion parameter model has undergone significant structural modifications to investigate the effects of compression on safety and subsequent repair mechanisms. It is not intended for general-purpose chat applications but rather as an experimental subject within a larger study.

Key Modifications and Characteristics

  • Compression: The base Llama-2-7b-chat model was compressed using SVD-LLM, resulting in a 50.01% reduction in parameters.
  • Iterative Editing: Following compression, the model was subjected to 9 out of 10 planned rounds of iterative parameter-neutral swapping. This process used the gap_iter selection rule, restoring components within a budget of 0.1% of dense parameters per round.
  • Research Focus: This specific checkpoint represents one cell in a grid of experiments designed to measure how SVD compression damages safety behavior and which component-selection rules are most effective at repairing it.

Measured Safety Metrics

As part of the research, specific safety metrics were evaluated:

  • AdvBench ASR (HarmBench judge): 0.2923
  • StrongREJECT ASR (HarmBench judge): 0.3163
  • Macro over-refusal (WildGuard): 0.0684

Intended Use and Limitations

This model is explicitly a research artifact for studying safety/utility trade-offs under compression. It is important to note that several experimental arms in this study, including potentially this one, are deliberately safety-degraded relative to the original Llama-2-7b-chat. Users should treat this as an experimental subject and conduct their own evaluations before drawing conclusions or considering any deployment.