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 unsloth/Mistral-Small-Instruct-2409 as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: anthracite-org/magnum-v4-22b
    parameters:
      weight: 1.0         # Primary model for human-like writing
      density: 0.88       # Solid foundation for clear, balanced text generation
  - model: TheDrummer/Cydonia-22B-v1.3
    parameters:
      weight: 0.26        # Slightly reduced weight for creativity
      density: 0.7        # Matches revised influence for subtle creativity
  - model: TheDrummer/Cydonia-22B-v1.2
    parameters:
      weight: 0.16        # Reduced weight to dial back creativity overlap
      density: 0.68       # Harmonized with the roleplay model reductions
  - model: TheDrummer/Cydonia-22B-v1.1
    parameters:
      weight: 0.18        # Further reduced to minimize intrusive elements
      density: 0.68       # Balanced density for roleplay accuracy
  - model: Gryphe/Pantheon-RP-Pure-1.6.2-22b-Small
    parameters:
      weight: 0.28        # Reduced for less dominance of storytelling tropes
      density: 0.77       # Adjusted density for smoother integration
  - model: allura-org/MS-Meadowlark-22B
    parameters:
      weight: 0.3         # Retained for its balanced creativity
      density: 0.72       # Supports descriptive fluency and accuracy
  - model: spow12/ChatWaifu_v2.0_22B
    parameters:
      weight: 0.27        # Intact to retain anime-style RP nuance
      density: 0.7        # Unmodified for balance with other models
  - model: Saxo/Linkbricks-Horizon-AI-Japanese-Superb-V1-22B
    parameters:
      weight: 0.2         # Slight reduction to balance Japanese context influence
      density: 0.58       # Fine-tuned to support overall coherence
  - model: crestf411/MS-sunfall-v0.7.0
    parameters:
      weight: 0.25        # Reduced weight for a subtler dramatic tone
      density: 0.74       # Balanced density for smoother blending
  - model: unsloth/Mistral-Small-Instruct-2409+rAIfle/Acolyte-LORA
    parameters:
      weight: 0.24        # Slight reduction for subtler varied content inputs
      density: 0.7        # Aligned density for balanced integration
  - model: InferenceIllusionist/SorcererLM-22B
    parameters:
      weight: 0.23        # Reduced for a more cohesive stylistic approach
      density: 0.74       # Matches weight reduction for smoother outputs
  - model: unsloth/Mistral-Small-Instruct-2409+Kaoeiri/Moingooistrial-22B-V1-Lora
    parameters:
      weight: 0.26        # Slightly dialed back for monster and mythical content
      density: 0.72       # Balanced for seamless integration
  - model: ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1
    parameters:
      weight: 0.12        # Light touch to prevent overheating
      density: 0.65       # Low density to avoid conflict with roleplay-heavy models
  - model: byroneverson/Mistral-Small-Instruct-2409-abliterated
    parameters:
      weight: 0.15        # Introduces unfiltered context without dominating the mix
      density: 0.7        # Moderate density to retain raw contextual coherence

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 blending
  lambda: 1.22           # Slightly adjusted scaling for refined sharpness
dtype: bfloat16

Kaoeiri
/

MS-Magpantheonsel-lark-v4x1.6.2RP-Cydonia-vXXX-22B-7

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merge

Merge Details

Merge Method

Models Merged

Configuration

Model tree for Kaoeiri/MS-Magpantheonsel-lark-v4x1.6.2RP-Cydonia-vXXX-22B-7