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Zagora Discovery Lab cracks LoRA transfer
OPEN_SOURCE ↗
REDDIT · REDDIT// 24d agoOPENSOURCE RELEASE

Zagora Discovery Lab cracks LoRA transfer

The open-source repo packages an autoresearch loop that runs 100 LoRA experiments on Llama 8B, confirms the best candidates with multiple seeds, and then tests the winner on 70B. The strongest recipe used rank 4 across all 7 module types, with no dropout, no weight decay, and a linear schedule.

// ANALYSIS

This is a strong demo of proxy search doing real work, but the bigger takeaway is how ordinary the winning recipe looks once the noise settles out. The process matters as much as the result: cheap exploration, stricter confirmation, then one honest cross-scale check.

  • The 4.14% discovery gain compressing to 1.48% after 3-seed confirmation is exactly the kind of variance haircut you want from an autonomous search loop
  • The rebound to 3.35% on 70B suggests the 8B proxy was useful, not merely overfit to itself
  • Rank 4 on all 7 modules beating rank 8 on only q/v is a nice reminder that adapter coverage can matter more than raw rank
  • The single 70B run is still proof-of-concept, not a universal law; the repo validates a recipe, not a theorem
  • Because the win is hyperparameter-only, it should transfer across distributed fine-tuning stacks, not just Zagora
// TAGS
zagora-discovery-labllmfine-tuningagentresearchopen-sourcegpu

DISCOVERED

24d ago

2026-03-18

PUBLISHED

24d ago

2026-03-18

RELEVANCE

8/ 10

AUTHOR

yz0011