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1models:
2 # === Core Instruction Following (35% weight allocation) ===
3 - model: qingy2024/MwM-22B-Instruct
4 parameters:
5 weight: 1.35 # Increased for stronger instruction adherence :cite[4]
6 density: 0.82 # Sparse enough for creative deviation
7 - model: DigitalSouls/BlackSheep-DigitalSoul-22B
8 parameters:
9 weight: 0.85 # Maintains dark thematic elements
10 density: 0.88 # Higher retention for personality consistency
11 - model: ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1
12 parameters:
13 weight: 0.75 # Boosted for anti-repetition training :cite[6]
14 density: 0.83 # Preserve diverse RP patterns
15
16 # === Narrative Engine (45% weight allocation) === :cite[4]:cite[6]
17 - model: Kaoeiri/MS-Magpantheonsel-lark-v4x1.6.2RP-Cydonia-vXXX-22B-8
18 parameters:
19 weight: 0.72 # Balanced mythos building
20 density: 0.68 # Allow concept recombination
21 - model: TheDrummer/Cydonia-22B-v1.3
22 parameters:
23 weight: 0.40 # Increased for plot continuity
24 density: 0.65 # Encourage narrative surprises
25 - model: Gryphe/Pantheon-RP-Pure-1.6.2-22b-Small
26 parameters:
27 weight: 0.55 # Maintains pure RP characteristics
28 density: 0.70 # Standard retention
29
30 # === Support Matrix (20% weight allocation) ===
31 - model: anthracite-org/magnum-v4-22b
32 parameters:
33 weight: 0.60 # Boosted for atmospheric depth
34 density: 0.72 # Preserve environmental descriptors
35 - model: Saxo/Linkbricks-Horizon-AI-Korean-Superb-22B
36 parameters:
37 weight: 0.35 # Cultural nuance preservation
38 density: 0.75 # High retention for language features
39 - model: allura-org/MS-Meadowlark-22B
40 parameters:
41 weight: 0.38 # Slight boost for natural dialogue flow
42 density: 0.68
43 # ... (other support models adjusted similarly with 0.3-0.4 weights)
44
45merge_method: dare_ties
46base_model: unsloth/Mistral-Small-Instruct-2409
47parameters:
48 density: 0.85 # More aggressive sparsity for creative recombination :cite[9]
49 epsilon: 0.12 # Higher resurrection rate for narrative parameters
50 lambda: 1.22 # Controlled divergence amplification
51 normalize: true
52 t:
53 - filter: "self_attn" # Stable attention structure
54 value: 0.92
55 - filter: "mlp" # Chaotic concept mixing
56 value: 0.68
57 - filter: "embed_tokens" # Cultural preservation
58 value: 0.95
59
60dtype: bfloat16
61random_seed: 314159 # Pi constant for infinite variations