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moe_karcher which adapts the standard karcher method to support mixture of experts. A few changes were made to the script to support the new Gemma4 architecture. Note there were some issues setting up the merge, so the vision mode might be disabled.moe_karcher merge with 3 models. This model produces much different output than v1 or v1.1 upon being tested.moe_karcher is better than moe_slerp.gemma-4-26B-A4B-it was still chosen to be excluded for this version, but it might be added for v1.31architecture: Gemma4ForConditionalGeneration
2merge_method: moe_karcher
3# base_model: B:\26B\google--gemma-4-26B-A4B-it
4models:
5 - model: B:\26B\AuriAetherwiing--G4-26B-A4B-Musica-v1
6 - model: B:\26B\ApocalypseParty--G4-26B-SFT-6 # zerofata/G4-MeroMero-26B-A4B
7 - model: B:\26B\Darkhn--Gemma-4-26B-A4B-Animus-V14.1-FFT
8parameters:
9 max_iter: 100
10 tol: 1.0e-9
11 router_strategy: karcher # Options: karcher, average, first, random_init
12 blend_experts: true # Blend corresponding experts (expert[0] + expert[0], etc.)
13dtype: float32
14out_dtype: bfloat16
15tokenizer:
16 source: union
17# chat_template: auto
18trust_remote_code: true
19name: G4-Runic-Oarfish-26B-A4B-v1.2