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models:
- model: anthracite-org/magnum-v4-22b
parameters:
weight: 1.0 # Primary model for human-like writing
density: 0.87 # Solid foundation with ample blending room
- model: TheDrummer/Cydonia-22B-v1.3
parameters:
weight: 0.28 # Balanced for creative enhancement
density: 0.72 # Adjusted to support Magnum without clashing
- model: TheDrummer/Cydonia-22B-v1.2
parameters:
weight: 0.18 # Provides a light touch of extra creativity
density: 0.7 # Keeps alignment with the reduced weight
- model: TheDrummer/Cydonia-22B-v1.1
parameters:
weight: 0.22 # Supports accurate and specific nuances
density: 0.7 # Ensures stability without overpowering other models
- model: Gryphe/Pantheon-RP-Pure-1.6.2-22b-Small
parameters:
weight: 0.34 # Strengthens storytelling and roleplay depth
density: 0.8 # Complements Magnum for storytelling without overpowering
- model: allura-org/MS-Meadowlark-22B
parameters:
weight: 0.32 # Balanced for creativity and fluency
density: 0.73 # Enhances descriptive accuracy
- model: spow12/ChatWaifu_v2.0_22B
parameters:
weight: 0.27 # Adds anime-style RP nuance
density: 0.7 # Maintains balance with other storytelling models
- model: Saxo/Linkbricks-Horizon-AI-Japanese-Superb-V1-22B
parameters:
weight: 0.21 # Specialized for Japanese context and linguistic handling
density: 0.6 # Retains clarity in context-heavy outputs
- model: crestf411/MS-sunfall-v0.7.0
parameters:
weight: 0.3 # Ideal for dramatic and engaging storytelling
density: 0.76 # Supports impactful and spicy narratives
- model: unsloth/Mistral-Small-Instruct-2409+rAIfle/Acolyte-LORA
parameters:
weight: 0.26 # Provides structured input for varied content
density: 0.72 # Aligns for balanced blending
- model: InferenceIllusionist/SorcererLM-22B
parameters:
weight: 0.25 # Refines stylistic coherence
density: 0.76 # Enhances refined and expressive outputs
- model: unsloth/Mistral-Small-Instruct-2409+Kaoeiri/Moingooistrial-22B-V1-Lora
parameters:
weight: 0.28 # Injects mythical storytelling and monster lore
density: 0.73 # Balanced density for smooth integration
merge_method: dare_ties # Optimal for diverse and complex model blending
base_model: unsloth/Mistral-Small-Instruct-2409
parameters:
density: 0.85 # Overall density ensures logical and creative balance
epsilon: 0.09 # Small step size for smooth transitions
lambda: 1.24 # Fine-tuned scaling for sharp and coherent outputs
dtype: bfloat16
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