pythia-en-zh-14m
Training-free merged checkpoint from the Mergeability sweep
(benchmark/emit_lm.py --real), produced by weight-space merging of two independently
trained parents. No gradient steps were taken.
| field | value |
|---|---|
| pair_id | pythia-en-zh-14m |
| merges_in_repo | average__aligned, average__naive, task_arithmetic__aligned, task_arithmetic__naive, ties__aligned, ties__naive |
| note | card backfilled by mergeschool.tools.org_tidy |
How it was made
Parents were loaded, activations extracted on a shared calibration corpus, and the merge applied
either naive (parents combined in their own coordinates) or aligned (parent B carried into
parent A's residual-stream basis via common.alignment.residual_basis_map before merging —
permutation for same-width pairs, orthogonal/rectangular for cross-width).
MS is the recovery score from common.eval.mergeability_score (merged vs. floor vs. ceiling), the
same normalisation used by Zhou et al., so it is comparable across rows of the sweep.
Caveats
Sub-1B merges are noisy; an aligned signal where the naive one is noise is the finding, not a bug. Rows without a joint ceiling are floor-relative and must not be read as absolute recovery.
Generated automatically — see the mergeschool repo.
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Mergeability/pythia-en-zh-14m", device_map="auto")