merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the DARE TIES merge method using anthracite-org/magnum-v4-22b as a base.
Models Merged
The following models were included in the merge:
- allura-org/MS-Meadowlark-22B
- TheDrummer/Cydonia-22B-v1.2
- Gryphe/Pantheon-RP-Pure-1.6.2-22b-Small
- TheDrummer/Cydonia-22B-v1.1
- TheDrummer/Cydonia-22B-v1.3
- spow12/ChatWaifu_v2.0_22B
- Saxo/Linkbricks-Horizon-AI-Japanese-Superb-V1-22B
Configuration
The following YAML configuration was used to produce this model:
models:
- model: anthracite-org/magnum-v4-22b
parameters:
weight: 1.0 # Magnum as the primary writing style model
density: 0.85 # Slightly lower density to allow for blending with other models
- model: TheDrummer/Cydonia-22B-v1.3
parameters:
weight: 0.3 # Reduced weight for creativity to avoid too much overlap
density: 0.7 # Reduced density to ensure balance in creativity influence
- model: TheDrummer/Cydonia-22B-v1.2
parameters:
weight: 0.2 # Extra creativity without overwhelming the narrative
density: 0.65 # Reduced density for further balance
- model: TheDrummer/Cydonia-22B-v1.1
parameters:
weight: 0.25 # Lower weight for accuracy and specific features (evil/trolling)
density: 0.7 # Moderate density for accuracy retention without interference
- model: Gryphe/Pantheon-RP-Pure-1.6.2-22b-Small
parameters:
weight: 0.35 # Increased weight for storytelling and RP focus
density: 0.8 # Moderate density to ensure a good storytelling influence
- model: allura-org/MS-Meadowlark-22B
parameters:
weight: 0.3 # Increased weight for creativity and balanced writing
density: 0.7 # Moderate density to ensure creativity enhances the text
- model: spow12/ChatWaifu_v2.0_22B
parameters:
weight: 0.3 # Balanced weight for anime-style RP and conversational tone
density: 0.7 # Moderate density to contribute anime style without overshadowing
- model: Saxo/Linkbricks-Horizon-AI-Japanese-Superb-V1-22B
parameters:
weight: 0.3 # Balanced weight for Japanese context handling
density: 0.75 # Higher density to retain Japanese context without excess influence
merge_method: dare_ties # Using dare_ties for smoother blending across models
base_model: anthracite-org/magnum-v4-22b
parameters:
density: 0.85 # General density to ensure an overall balanced mix
epsilon: 0.1 # Maximum change in drop probabilities (affects model output blending)
lambda: 1.2 # Scaling factor for final merged deltas
dtype: bfloat16
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