llama2_7b_chat_svdllm_v2_remove_30_seed42
A Llama-2-7b-chat checkpoint compressed with SVD-LLM V2 (arXiv 2503.12340), paper-derived reimplementation -- see the reproduction row below to 70.0% of dense parameters, then recovered with SVD-LLM's stage-2 LoRA (sequential U then V, alpaca-cleaned, r=8, alpha=16, 2 epochs, lr 1e-4, batch 64, cutoff 256, bf16).
This is a research artifact from a study of how SVD compression damages safety behaviour and which component-selection rule best repairs it. It is one cell of a grid over selection rules and budgets; it is not a general-purpose chat model.
Provenance
| field | value |
|---|---|
| base (uncompressed) | meta-llama/Llama-2-7b-chat-hf |
| compression | SVD-LLM V2 (arXiv 2503.12340), paper-derived reimplementation -- see the reproduction row below, 30.00% of parameters removed |
| selection rule | unknown |
| restore budget | 0.000% of dense parameters |
| components restored | 0 |
| components swapped out | 0 |
| resulting parameter fraction | 0.6998 |
| seed | 42 |
| algorithm 1 | heterogeneous per-matrix compression ratio from the theoretical truncation loss (grouped by projection type) |
| algorithm 2 | eigendecomposition square root of X^T X in place of upstream's Cholesky factor |
| rank range | 204-2233 across 224 matrices (uniform SVD-LLM would use one rank per shape) |
| matrices at the keep floor | 3 (0.k_proj, 0.o_proj, 0.q_proj) |
| deviation from the paper | Algorithm 1 as printed is unbounded and can emit a reduction ratio > 1 (layer-0 q/k/o_proj do, at every ratio). Capped at keep >= 0.10 with the excess redistributed across the group in proportion to score, so each group's mean reduction stays exactly R. The paper specifies no bound. |
| upstream V2 source | AIoT-MLSys-Lab/SVD-LLM advertises the V2 paper but ships no V2 source (checked at commit 7538cca, 2025-08-27); Algorithms 1 and 2 here are implemented from the paper text |
| reproduction gate | LLaMA-7B @ 20% removed, WikiText-2 PPL: this implementation 7.913 vs the paper's reported 7.12 for V2 and 7.94 for v1. A uniform-rank control through the identical pipeline gives 7.901, so these cells reproduce v1's number, not V2's, and Algorithm 1 contributes -0.012 there. On Llama-2-7b-chat the allocation does help slightly (PPL -0.06 to -0.26 vs v1 at 20-40% removal). Treat this as V2-as-described, not V2-as-published-numbers. |
Measured
| metric | value |
|---|---|
| AdvBench ASR (HarmBench judge) | 0.0962 |
| StrongREJECT ASR (HarmBench judge) | 0.0671 |
| Macro over-refusal (WildGuard) | 0.2269 |
| WikiText-2 perplexity | 9.5710 |
Intended use and limitations
This checkpoint exists to measure safety/utility trade-offs under compression. Several arms in the grid are deliberately safety-degraded relative to Llama-2-7b-chat: compression alone raises attack-success rate, and the point of the study is to quantify that and test recovery. Treat any given cell as an experimental subject, not as a deployable assistant, and evaluate it yourself before drawing conclusions from it.
Licence
Llama 2 Community License. LICENSE.txt and USE_POLICY.md are included in this repository, and use of this derivative is bound by them. Built with Llama 2.