An improvement over v1

There is still slop with the "not x, but y" prose, though it writes better otherwise. It talked about a lighthouse / cursed island instead of the clockmaker shop.

i think 1.1 isn't as good as the original, it has a lot more subtle refusal than v1, shorter replies, and more negative Gemini-like behavior. it seems that moe_karcher is better than moe_slerp.

A magnitude scan reveals that MeroMero had the highest L2 norm, followed by Animus, then Musica. This means that MeroMero had the "strongest pull" on the karcher direction.

100 iterations is enough to produce about the same fidelity as 1000

The base model gemma-4-26B-A4B-it was still chosen to be excluded for this version, but it might be added for v1.3

yaml
Copy code
architecture: Gemma4ForConditionalGeneration
merge_method: moe_karcher
# base_model: B:\26B\google--gemma-4-26B-A4B-it
models:
  - model: B:\26B\AuriAetherwiing--G4-26B-A4B-Musica-v1
  - model: B:\26B\ApocalypseParty--G4-26B-SFT-6 # zerofata/G4-MeroMero-26B-A4B
  - model: B:\26B\Darkhn--Gemma-4-26B-A4B-Animus-V14.1-FFT
parameters:
  max_iter: 100
  tol: 1.0e-9
  router_strategy: karcher  # Options: karcher, average, first, random_init
  blend_experts: true  # Blend corresponding experts (expert[0] + expert[0], etc.)
dtype: float32
out_dtype: bfloat16
tokenizer:
  source: union
# chat_template: auto
trust_remote_code: true
name: G4-Runic-Oarfish-26B-A4B-v1.2

See v1 for more details of how to merge Gemma 4 MoE models.