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Model: Jeesup/svd-safety-l3_jbb_ka16_a1p0_free_remove30 Source: Original Platform
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README.md
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README.md
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---
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license: llama3
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base_model: meta-llama/Meta-Llama-3-8B-Instruct
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library_name: transformers
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pipeline_tag: text-generation
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tags:
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- llama3
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- svd
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- compression
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- safety
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- interpretability
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---
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# svd-safety-l3_jbb_ka16_a1p0_free_remove30
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A Llama-3-8B-Instruct checkpoint compressed with SVD-LLM to **70.0% of dense
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parameters**, then given a **0.0% parameter budget** of restored SVD
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components selected by the **`unknown`** rule.
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This is a research artifact from a study of how SVD compression damages safety
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behaviour and which component-selection rule best repairs it. It is one cell of a
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grid over selection rules and budgets; it is **not** a general-purpose chat model.
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## Provenance
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| field | value |
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|---|---|
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| base (uncompressed) | `meta-llama/Meta-Llama-3-8B-Instruct` |
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| compression | SVD-LLM, 30.00% of parameters removed |
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| selection rule | `unknown` |
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| restore budget | 0.000% of dense parameters |
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| components restored | 0 |
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| components swapped out | 0 |
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| resulting parameter fraction | 0.6999 |
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| seed | 42 |
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## Measured
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| metric | value |
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|---|---|
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| AdvBench ASR (HarmBench judge) | 0.0885 |
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| StrongREJECT ASR (HarmBench judge) | 0.0799 |
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| Macro over-refusal (WildGuard) | 0.1844 |
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| WikiText-2 perplexity | 16.6624 |
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## Intended use and limitations
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This checkpoint exists to measure safety/utility trade-offs under compression.
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Several arms in the grid are **deliberately safety-degraded** relative to
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Llama-3-8B-Instruct: compression alone raises attack-success rate, and the point of
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the study is to quantify that and test recovery. Treat any given cell as an
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experimental subject, not as a deployable assistant, and evaluate it yourself
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before drawing conclusions from it.
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## Licence
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Meta Llama 3 Community License. `LICENSE` and `USE_POLICY.md` are included in this repository, and use of this derivative is bound by them. Built with Meta Llama 3.
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