experiment: llm_merge_seeds
kind: llm_merge
seed: 1
seeds: [1, 2, 3, 4, 5]
n_replicates: 1

# Multi-seed firm-up of the 0.5B merge experiment (PNAS work order Phase 3: removes the "one seed"
# objection). Same protocol as configs/llm/merge.yaml; the test sets stay FIXED (seed 1000+i per
# family) while the training seed varies, so across-seed variance is training variance only.
# Specialists cache per-seed (spec_<family>_s<seed>).

base_model: Qwen/Qwen2.5-0.5B-Instruct
families: [lists, strings, arith]
n_train: 600
n_test: 100
epochs: 3
lora: {r: 16, alpha: 32}
merges: [soup, ties]

output: {dir: results/llm_merge_seeds}