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---
license: apache-2.0
base_model: Qwen/Qwen3-14B
tags: [loracle, lora, weight-interpretation, auditbench]
---
# LoRAcle KL-distill N1k
Intermediate scaling-curve checkpoint from the KL distillation persona-LoRA experiment.
**AB any-match: 0.670 ± 0.028** · details: N=1000, 3 Q/A per persona (matched-step variant)
Companion siblings: [`ceselder/loracle-kl-distill-N11k`](https://huggingface.co/ceselder/loracle-kl-distill-N11k) (best, AB 0.728 ± 0.009).
See [the lora-oracles repo](https://github.com/ceselder/lora-oracles/tree/main/paper_ablations/kl_distill) for the full recipe + a CLAUDE_BRIEFING.md describing the experiment top-down.
## Headline scaling curve (KL distill)
| N personas | AB any-match | this repo? |
|---:|---:|:---:|
| 1,000 | 0.670 ± 0.028 | ✓ |
| 5,000 | 0.701 ± 0.019 | |
| 11,000 | 0.728 ± 0.009 | |
Plain-SFT baseline at matched N=1k was 0.594 ± 0.022, plateaued ~0.55 across N=500–11k.
## Files
- `interpreter/` — PEFT LoRA adapter (rank 256) on `Qwen/Qwen3-14B`
- `encoder.pt`, `ao.pt` — AOEncoder + auxiliary tensors
- `tokenizer/` — Qwen3-14B tokenizer
- `loracle_config.yaml` — training config