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 (best, AB 0.728 ± 0.009).

See the lora-oracles repo 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
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for ceselder/loracle-kl-distill-N1k

Finetuned
Qwen/Qwen3-14B
Adapter
(231)
this model