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README.md

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+---
+base_model:
+- ChaoticNeutrals/RP_Vision_7B
+- ResplendentAI/DaturaCookie_7B
+- ResplendentAI/Persephone_7B
+- ResplendentAI/Aura_v3_7B
+- kainatq/Kainoverse-7b-v0.1
+- ResplendentAI/Asherah_7B
+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 [kainatq/Kainoverse-7b-v0.1](https://huggingface.co/kainatq/Kainoverse-7b-v0.1) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [ChaoticNeutrals/RP_Vision_7B](https://huggingface.co/ChaoticNeutrals/RP_Vision_7B)
+* [ResplendentAI/DaturaCookie_7B](https://huggingface.co/ResplendentAI/DaturaCookie_7B)
+* [ResplendentAI/Persephone_7B](https://huggingface.co/ResplendentAI/Persephone_7B)
+* [ResplendentAI/Aura_v3_7B](https://huggingface.co/ResplendentAI/Aura_v3_7B)
+* [ResplendentAI/Asherah_7B](https://huggingface.co/ResplendentAI/Asherah_7B)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: kainatq/Kainoverse-7b-v0.1
+    # Base model, no parameters necessary
+  - model: ResplendentAI/Aura_v3_7B
+    parameters:
+      density: 0.5
+      weight: 0.8  # Increased weight for potentially better general performance
+  - model: ResplendentAI/DaturaCookie_7B
+    parameters:
+      density: 0.5
+      weight: 0.7  # Strong, but less than Aura_v3_7B for diversity
+  - model: ResplendentAI/Asherah_7B
+    parameters:
+      density: 0.5
+      weight: 0.6  # Slightly lower weight for a balanced contribution
+  - model: ResplendentAI/Persephone_7B
+    parameters:
+      density: 0.5
+      weight: 0.5  # Reduced weight for minor adjustment or specific fine-tuning
+  - model: ChaoticNeutrals/RP_Vision_7B
+    parameters:
+      density: 0.5
+      weight: 0.6  # Balanced weight for specialized capabilities
+
+merge_method: dare_ties
+
+base_model: kainatq/Kainoverse-7b-v0.1
+parameters:
+  normalize: false
+  int8_mask: true
+
+dtype: float16
+
+```

config.json

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+{
+  "_name_or_path": "kainatq/Kainoverse-7b-v0.1",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.46.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+models:
+  - model: kainatq/Kainoverse-7b-v0.1
+    # Base model, no parameters necessary
+  - model: ResplendentAI/Aura_v3_7B
+    parameters:
+      density: 0.5
+      weight: 0.8  # Increased weight for potentially better general performance
+  - model: ResplendentAI/DaturaCookie_7B
+    parameters:
+      density: 0.5
+      weight: 0.7  # Strong, but less than Aura_v3_7B for diversity
+  - model: ResplendentAI/Asherah_7B
+    parameters:
+      density: 0.5
+      weight: 0.6  # Slightly lower weight for a balanced contribution
+  - model: ResplendentAI/Persephone_7B
+    parameters:
+      density: 0.5
+      weight: 0.5  # Reduced weight for minor adjustment or specific fine-tuning
+  - model: ChaoticNeutrals/RP_Vision_7B
+    parameters:
+      density: 0.5
+      weight: 0.6  # Balanced weight for specialized capabilities
+
+merge_method: dare_ties
+
+base_model: kainatq/Kainoverse-7b-v0.1
+parameters:
+  normalize: false
+  int8_mask: true
+
+dtype: float16

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