Lass decided she was a lioness-fox today. :3
Main measured gains are in increased skill at the Creative Writing bench (as judged by Gemini 3 Flash Preview),
which tracks with what she was aiming to practice, though it was a winding road. Effective batch size 1 for all the training.
Tried out like ... 4 different SFT runs at 1e-6 with varying dataset ratios trying to figure out what worked ...
... still not sure, because the best result came from Karcher merging the full set of SFT runs, lol.
Then ran DPO, 5e-7, on 3 different seeds; and merged them here.
This is a merge of pre-trained language models created using
mergekit.
This model was merged using the
Karcher Mean merge method.
1models:
2 - model: ../qwen3.5-cultivation/zora-dpo-mar25-merged
3 - model: ../qwen3.5-cultivation/zora-dpo-mar25-2-merged
4 - model: ../qwen3.5-cultivation/zora-dpo-mar25-3-merged
5merge_method: karcher
6dtype: bfloat16
7tokenizer_source: Lambent/Zora-9B-v1
8pad_to_multiple_of: 256
9