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README.md

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+---
+base_model:
+- unsloth/Mistral-Small-Instruct-2409
+- anthracite-org/magnum-v4-22b
+- Gryphe/Pantheon-RP-Pure-1.6.2-22b-Small
+- allura-org/MS-Meadowlark-22B
+- ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1
+- TheDrummer/Cydonia-22B-v1.3
+- Saxo/Linkbricks-Horizon-AI-Korean-Superb-22B
+- qingy2024/MwM-22B-Instruct
+- DigitalSouls/BlackSheep-DigitalSoul-22B
+- Kaoeiri/MS-Magpantheonsel-lark-v4x1.6.2RP-Cydonia-vXXX-22B-8
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# merge
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [unsloth/Mistral-Small-Instruct-2409](https://huggingface.co/unsloth/Mistral-Small-Instruct-2409) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [anthracite-org/magnum-v4-22b](https://huggingface.co/anthracite-org/magnum-v4-22b)
+* [Gryphe/Pantheon-RP-Pure-1.6.2-22b-Small](https://huggingface.co/Gryphe/Pantheon-RP-Pure-1.6.2-22b-Small)
+* [allura-org/MS-Meadowlark-22B](https://huggingface.co/allura-org/MS-Meadowlark-22B)
+* [ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1](https://huggingface.co/ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1)
+* [TheDrummer/Cydonia-22B-v1.3](https://huggingface.co/TheDrummer/Cydonia-22B-v1.3)
+* [Saxo/Linkbricks-Horizon-AI-Korean-Superb-22B](https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Korean-Superb-22B)
+* [qingy2024/MwM-22B-Instruct](https://huggingface.co/qingy2024/MwM-22B-Instruct)
+* [DigitalSouls/BlackSheep-DigitalSoul-22B](https://huggingface.co/DigitalSouls/BlackSheep-DigitalSoul-22B)
+* [Kaoeiri/MS-Magpantheonsel-lark-v4x1.6.2RP-Cydonia-vXXX-22B-8](https://huggingface.co/Kaoeiri/MS-Magpantheonsel-lark-v4x1.6.2RP-Cydonia-vXXX-22B-8)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  # === Core Instruction Following (35% weight allocation) ===
+  - model: qingy2024/MwM-22B-Instruct
+    parameters:
+      weight: 1.35  # Increased for stronger instruction adherence :cite[4]
+      density: 0.82  # Sparse enough for creative deviation
+  - model: DigitalSouls/BlackSheep-DigitalSoul-22B
+    parameters:
+      weight: 0.85  # Maintains dark thematic elements
+      density: 0.88  # Higher retention for personality consistency
+  - model: ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1
+    parameters:
+      weight: 0.75  # Boosted for anti-repetition training :cite[6]
+      density: 0.83  # Preserve diverse RP patterns
+
+  # === Narrative Engine (45% weight allocation) === :cite[4]:cite[6]
+  - model: Kaoeiri/MS-Magpantheonsel-lark-v4x1.6.2RP-Cydonia-vXXX-22B-8
+    parameters:
+      weight: 0.72  # Balanced mythos building
+      density: 0.68  # Allow concept recombination
+  - model: TheDrummer/Cydonia-22B-v1.3
+    parameters:
+      weight: 0.40  # Increased for plot continuity
+      density: 0.65  # Encourage narrative surprises
+  - model: Gryphe/Pantheon-RP-Pure-1.6.2-22b-Small
+    parameters:
+      weight: 0.55  # Maintains pure RP characteristics
+      density: 0.70  # Standard retention
+
+  # === Support Matrix (20% weight allocation) ===
+  - model: anthracite-org/magnum-v4-22b
+    parameters:
+      weight: 0.60  # Boosted for atmospheric depth
+      density: 0.72  # Preserve environmental descriptors
+  - model: Saxo/Linkbricks-Horizon-AI-Korean-Superb-22B
+    parameters:
+      weight: 0.35  # Cultural nuance preservation
+      density: 0.75  # High retention for language features
+  - model: allura-org/MS-Meadowlark-22B
+    parameters:
+      weight: 0.38  # Slight boost for natural dialogue flow
+      density: 0.68
+  # ... (other support models adjusted similarly with 0.3-0.4 weights)
+
+merge_method: dare_ties
+base_model: unsloth/Mistral-Small-Instruct-2409
+parameters:
+  density: 0.85  # More aggressive sparsity for creative recombination :cite[9]
+  epsilon: 0.12   # Higher resurrection rate for narrative parameters
+  lambda: 1.22    # Controlled divergence amplification
+  normalize: true
+  t:
+    - filter: "self_attn"  # Stable attention structure
+      value: 0.92
+    - filter: "mlp"        # Chaotic concept mixing
+      value: 0.68
+    - filter: "embed_tokens"      # Cultural preservation
+      value: 0.95
+
+dtype: bfloat16
+random_seed: 314159  # Pi constant for infinite variations
+```

config.json

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+{
+  "_name_or_path": "unsloth/Mistral-Small-Instruct-2409",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 6144,
+  "initializer_range": 0.02,
+  "intermediate_size": 16384,
+  "max_position_embeddings": 131072,
+  "model_type": "mistral",
+  "num_attention_heads": 48,
+  "num_hidden_layers": 56,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.46.2",
+  "use_cache": true,
+  "vocab_size": 32768
+}

mergekit_config.yml

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+models:
+  # === Core Instruction Following (35% weight allocation) ===
+  - model: qingy2024/MwM-22B-Instruct
+    parameters:
+      weight: 1.35  # Increased for stronger instruction adherence :cite[4]
+      density: 0.82  # Sparse enough for creative deviation
+  - model: DigitalSouls/BlackSheep-DigitalSoul-22B
+    parameters:
+      weight: 0.85  # Maintains dark thematic elements
+      density: 0.88  # Higher retention for personality consistency
+  - model: ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1
+    parameters:
+      weight: 0.75  # Boosted for anti-repetition training :cite[6]
+      density: 0.83  # Preserve diverse RP patterns
+
+  # === Narrative Engine (45% weight allocation) === :cite[4]:cite[6]
+  - model: Kaoeiri/MS-Magpantheonsel-lark-v4x1.6.2RP-Cydonia-vXXX-22B-8
+    parameters:
+      weight: 0.72  # Balanced mythos building
+      density: 0.68  # Allow concept recombination
+  - model: TheDrummer/Cydonia-22B-v1.3
+    parameters:
+      weight: 0.40  # Increased for plot continuity
+      density: 0.65  # Encourage narrative surprises
+  - model: Gryphe/Pantheon-RP-Pure-1.6.2-22b-Small
+    parameters:
+      weight: 0.55  # Maintains pure RP characteristics
+      density: 0.70  # Standard retention
+
+  # === Support Matrix (20% weight allocation) ===
+  - model: anthracite-org/magnum-v4-22b
+    parameters:
+      weight: 0.60  # Boosted for atmospheric depth
+      density: 0.72  # Preserve environmental descriptors
+  - model: Saxo/Linkbricks-Horizon-AI-Korean-Superb-22B
+    parameters:
+      weight: 0.35  # Cultural nuance preservation
+      density: 0.75  # High retention for language features
+  - model: allura-org/MS-Meadowlark-22B
+    parameters:
+      weight: 0.38  # Slight boost for natural dialogue flow
+      density: 0.68
+  # ... (other support models adjusted similarly with 0.3-0.4 weights)
+
+merge_method: dare_ties
+base_model: unsloth/Mistral-Small-Instruct-2409
+parameters:
+  density: 0.85  # More aggressive sparsity for creative recombination :cite[9]
+  epsilon: 0.12   # Higher resurrection rate for narrative parameters
+  lambda: 1.22    # Controlled divergence amplification
+  normalize: true
+  t:
+    - filter: "self_attn"  # Stable attention structure
+      value: 0.92
+    - filter: "mlp"        # Chaotic concept mixing
+      value: 0.68
+    - filter: "embed_tokens"      # Cultural preservation
+      value: 0.95
+
+dtype: bfloat16
+random_seed: 314159  # Pi constant for infinite variations

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special_tokens_map.json

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