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svd_llm2/unheal/llama2-7b-base/README.md

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+---
+license: llama2
+base_model: NousResearch/Llama-2-7b-hf
+tags: [svd, low-rank, model-compression, llama2]
+---
+
+# SVD-LLM V2 (NAACL 2025, official code unreleased; our implementation of Alg. 1+2) @ 4.02B, UNHEALED (LLaMA-2-7B base)
+
+- **UNHEALED checkpoint**: raw post-compression weights, NO distillation. The KD-healed
+  counterpart is at `../heal/llama2-7b-base/` (same `ranks.json`; weights differ).
+- Factored params: **4,023,134,464** (budget 4.0231B, matched to the TR-3 llama2-7b row;
+  SVD-LLM V2 overall keep-ratio 0.5680 across the factored projections).
+- probe MMLU (limit 40/subtask, n=2280, seed 1234, fp16 — measured as the step-0 eval of
+  the sibling heal run): **24.34%**, i.e. essentially chance level; FP16 dense 7B base
+  teacher on the same probe: 47.41%. Compression alone, without healing, destroys base-model
+  instruction-independent capability at this budget.
+
+Load with `lowrank_linear.py` in this dir (identical recipe to the sibling dirs).
+Compression-provenance details (source revision, sha256 of every artifact, allocation
+files) are in `provenance.json`.