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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md

@@ -0,0 +1,86 @@
+---
+base_model:
+- win10/Mistral-Nemo-abliterated-Nemo-Pro-v2
+- PocketDoc/Dans-PersonalityEngine-V1.1.0-12b
+- Sao10K/MN-BackyardAI-Party-12B-v1
+- IlyaGusev/saiga_nemo_12b
+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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [win10/Mistral-Nemo-abliterated-Nemo-Pro-v2](https://huggingface.co/win10/Mistral-Nemo-abliterated-Nemo-Pro-v2) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [PocketDoc/Dans-PersonalityEngine-V1.1.0-12b](https://huggingface.co/PocketDoc/Dans-PersonalityEngine-V1.1.0-12b)
+* [Sao10K/MN-BackyardAI-Party-12B-v1](https://huggingface.co/Sao10K/MN-BackyardAI-Party-12B-v1)
+* [IlyaGusev/saiga_nemo_12b](https://huggingface.co/IlyaGusev/saiga_nemo_12b)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:      
+  - model: PocketDoc/Dans-PersonalityEngine-V1.1.0-12b
+    parameters:
+      density: 1
+      weight: 1
+
+  - model: Sao10K/MN-BackyardAI-Party-12B-v1
+    parameters:
+      density: 1
+      weight: 1
+
+  - model: IlyaGusev/saiga_nemo_12b
+    parameters:
+      density: 1
+      weight: 1    
+
+merge_method: ties
+base_model: win10/Mistral-Nemo-abliterated-Nemo-Pro-v2
+  
+dtype: float32
+chat_template: chatml
+# Regularization
+regularization:
+  - method: gradient_penalty
+    scale: 0.05  # Increased influence for gradient control
+  - method: weight_clipping
+    clip_range: [-0.2, 0.2]  # Broader clipping range for flexibility
+  - method: random_noise
+    scale: 0.01  # Stronger noise injection
+  - method: attention_dropout
+    scale: 0.1  # Higher dropout to reduce attention fixation
+
+# Postprocessing
+postprocessing:
+  - operation: entropy_regularization
+    scale: 0.05  # Stronger encouragement for diverse outputs
+  - operation: non_linear_scaling
+    parameters:
+      function: tanh
+  - operation: sharpening
+    intensity: 0.5  # Enhanced sharpening for precise outputs
+  - operation: gaussian_smoothing
+    sigma: 1.5  # Increased smoothing for stable outputs
+  - operation: normalize
+  - operation: dynamic_scaling
+    scale_range: [0.8, 1.2]  # Expanded dynamic range for scaling
+  - operation: smoothing
+    parameters:
+      adaptive: true
+      range: [0.85, 1.15]  # Wider adaptive smoothing range
+      kernel_size: 5
+
+```

config.json

@@ -0,0 +1,29 @@
+{
+  "_name_or_path": "win10/Mistral-Nemo-abliterated-Nemo-Pro-v2",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 1024000,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 8,
+  "pad_token_id": 10,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.46.2",
+  "unsloth_version": "2024.8",
+  "use_cache": true,
+  "vocab_size": 131072
+}

mergekit_config.yml

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+models:      
+  - model: PocketDoc/Dans-PersonalityEngine-V1.1.0-12b
+    parameters:
+      density: 1
+      weight: 1
+
+  - model: Sao10K/MN-BackyardAI-Party-12B-v1
+    parameters:
+      density: 1
+      weight: 1
+
+  - model: IlyaGusev/saiga_nemo_12b
+    parameters:
+      density: 1
+      weight: 1    
+
+merge_method: ties
+base_model: win10/Mistral-Nemo-abliterated-Nemo-Pro-v2
+  
+dtype: float32
+chat_template: chatml
+# Regularization
+regularization:
+  - method: gradient_penalty
+    scale: 0.05  # Increased influence for gradient control
+  - method: weight_clipping
+    clip_range: [-0.2, 0.2]  # Broader clipping range for flexibility
+  - method: random_noise
+    scale: 0.01  # Stronger noise injection
+  - method: attention_dropout
+    scale: 0.1  # Higher dropout to reduce attention fixation
+
+# Postprocessing
+postprocessing:
+  - operation: entropy_regularization
+    scale: 0.05  # Stronger encouragement for diverse outputs
+  - operation: non_linear_scaling
+    parameters:
+      function: tanh
+  - operation: sharpening
+    intensity: 0.5  # Enhanced sharpening for precise outputs
+  - operation: gaussian_smoothing
+    sigma: 1.5  # Increased smoothing for stable outputs
+  - operation: normalize
+  - operation: dynamic_scaling
+    scale_range: [0.8, 1.2]  # Expanded dynamic range for scaling
+  - operation: smoothing
+    parameters:
+      adaptive: true
+      range: [0.85, 1.15]  # Wider adaptive smoothing range
+      kernel_size: 5

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special_tokens_map.json

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+}

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