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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,144 @@
+---
+base_model:
+- bamec66557/mergekit-slerp-uhnpbqg
+- bamec66557/mergekit-slerp-tsgkafq
+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 SLERP merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* [bamec66557/mergekit-slerp-uhnpbqg](https://huggingface.co/bamec66557/mergekit-slerp-uhnpbqg)
+* [bamec66557/mergekit-slerp-tsgkafq](https://huggingface.co/bamec66557/mergekit-slerp-tsgkafq)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+# Merging MISCHIEVOUS-12B-Mix Models with Sliced SLERP
+base_model: bamec66557/mergekit-slerp-tsgkafq
+dtype: bfloat16
+merge_method: slerp
+tokenizer_source: union
+
+# Slices Configuration (Layer-Specific Merging)
+slices:
+  - name: initial_layers
+    sources:
+      - model: bamec66557/mergekit-slerp-uhnpbqg
+        layer_range: [0, 10]
+      - model: bamec66557/mergekit-slerp-tsgkafq
+        layer_range: [0, 10]
+    parameters:
+      t:
+        - name: self_attn
+          value: [0.8, 0.85, 0.9, 0.95, 1.0]
+        - name: mlp
+          value: [0.9, 0.95, 1.0, 1.05, 1.1]
+        - name: layer_norm
+          value: [0.6, 0.65, 0.7, 0.75, 0.8]
+        - name: embed_tokens
+          value: [1.0]
+
+  - name: middle_layers
+    sources:
+      - model: bamec66557/mergekit-slerp-uhnpbqg
+        layer_range: [10, 20]
+      - model: bamec66557/mergekit-slerp-tsgkafq
+        layer_range: [10, 20]
+    parameters:
+      t:
+        - name: self_attn
+          value: [0.7, 0.75, 0.8, 0.85, 0.9]
+        - name: mlp
+          value: [1.0, 0.95, 0.9, 0.85, 0.8]
+        - name: layer_norm
+          value: [0.5, 0.55, 0.6, 0.65, 0.7]
+        - name: embed_tokens
+          value: [1.0]
+
+  - name: upper_middle_layers
+    sources:
+      - model: bamec66557/mergekit-slerp-uhnpbqg
+        layer_range: [20, 30]
+      - model: bamec66557/mergekit-slerp-tsgkafq
+        layer_range: [20, 30]
+    parameters:
+      t:
+        - name: self_attn
+          value: [0.6, 0.65, 0.7, 0.75, 0.8]
+        - name: mlp
+          value: [0.8, 0.75, 0.7, 0.65, 0.6]
+        - name: layer_norm
+          value: [0.4, 0.45, 0.5, 0.55, 0.6]
+        - name: embed_tokens
+          value: [1.0]
+
+  - name: final_layers
+    sources:
+      - model: bamec66557/mergekit-slerp-uhnpbqg
+        layer_range: [30, 40]
+      - model: bamec66557/mergekit-slerp-tsgkafq
+        layer_range: [30, 40]
+    parameters:
+      t:
+        - name: self_attn
+          value: [0.9, 1.0, 1.1, 1.2, 1.3]
+        - name: mlp
+          value: [0.7, 0.65, 0.6, 0.55, 0.5]
+        - name: layer_norm
+          value: [0.7, 0.75, 0.8, 0.85, 0.9]
+        - name: embed_tokens
+          value: [1.0]
+
+# Regularization (Prevent Overfitting During Merging)
+regularization:
+  methods:
+    - name: weight_clipping
+      clip_range: [-0.2, 0.2]
+    - name: random_noise
+      scale: 0.015
+    - name: l2_norm
+      scale: 0.01
+
+# Postprocessing (Enhance Merged Model Quality)
+postprocessing:
+  operations:
+    - name: random_noise
+      scale: 0.0025
+    - name: non_linear_scaling
+      parameters:
+        function: tanh
+    - name: sharpening
+      intensity: 0.3
+    - name: gaussian_smoothing
+      sigma: 1.5
+    - name: smoothing
+      parameters:
+        adaptive: true
+        range: [0.8, 1.2]
+        kernel_size: 5
+    - name: normalize
+    - name: dynamic_scaling
+      scale_range: [0.75, 1.25]
+
+# Optional: Ties Merging (Advanced Technique)
+ties:
+  enabled: false  # Set to true if ties merging is required
+  method: greedy  # Options: greedy, optimal, random
+  layers: [0, 10, 20, 30]  # Example layers for ties merging
+
+```

config.json

@@ -0,0 +1,27 @@
+{
+  "_name_or_path": "bamec66557/mergekit-slerp-tsgkafq",
+  "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,
+  "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": 131074
+}

mergekit_config.yml

@@ -0,0 +1,112 @@
+# Merging MISCHIEVOUS-12B-Mix Models with Sliced SLERP
+base_model: bamec66557/mergekit-slerp-tsgkafq
+dtype: bfloat16
+merge_method: slerp
+tokenizer_source: union
+
+# Slices Configuration (Layer-Specific Merging)
+slices:
+  - name: initial_layers
+    sources:
+      - model: bamec66557/mergekit-slerp-uhnpbqg
+        layer_range: [0, 10]
+      - model: bamec66557/mergekit-slerp-tsgkafq
+        layer_range: [0, 10]
+    parameters:
+      t:
+        - name: self_attn
+          value: [0.8, 0.85, 0.9, 0.95, 1.0]
+        - name: mlp
+          value: [0.9, 0.95, 1.0, 1.05, 1.1]
+        - name: layer_norm
+          value: [0.6, 0.65, 0.7, 0.75, 0.8]
+        - name: embed_tokens
+          value: [1.0]
+
+  - name: middle_layers
+    sources:
+      - model: bamec66557/mergekit-slerp-uhnpbqg
+        layer_range: [10, 20]
+      - model: bamec66557/mergekit-slerp-tsgkafq
+        layer_range: [10, 20]
+    parameters:
+      t:
+        - name: self_attn
+          value: [0.7, 0.75, 0.8, 0.85, 0.9]
+        - name: mlp
+          value: [1.0, 0.95, 0.9, 0.85, 0.8]
+        - name: layer_norm
+          value: [0.5, 0.55, 0.6, 0.65, 0.7]
+        - name: embed_tokens
+          value: [1.0]
+
+  - name: upper_middle_layers
+    sources:
+      - model: bamec66557/mergekit-slerp-uhnpbqg
+        layer_range: [20, 30]
+      - model: bamec66557/mergekit-slerp-tsgkafq
+        layer_range: [20, 30]
+    parameters:
+      t:
+        - name: self_attn
+          value: [0.6, 0.65, 0.7, 0.75, 0.8]
+        - name: mlp
+          value: [0.8, 0.75, 0.7, 0.65, 0.6]
+        - name: layer_norm
+          value: [0.4, 0.45, 0.5, 0.55, 0.6]
+        - name: embed_tokens
+          value: [1.0]
+
+  - name: final_layers
+    sources:
+      - model: bamec66557/mergekit-slerp-uhnpbqg
+        layer_range: [30, 40]
+      - model: bamec66557/mergekit-slerp-tsgkafq
+        layer_range: [30, 40]
+    parameters:
+      t:
+        - name: self_attn
+          value: [0.9, 1.0, 1.1, 1.2, 1.3]
+        - name: mlp
+          value: [0.7, 0.65, 0.6, 0.55, 0.5]
+        - name: layer_norm
+          value: [0.7, 0.75, 0.8, 0.85, 0.9]
+        - name: embed_tokens
+          value: [1.0]
+
+# Regularization (Prevent Overfitting During Merging)
+regularization:
+  methods:
+    - name: weight_clipping
+      clip_range: [-0.2, 0.2]
+    - name: random_noise
+      scale: 0.015
+    - name: l2_norm
+      scale: 0.01
+
+# Postprocessing (Enhance Merged Model Quality)
+postprocessing:
+  operations:
+    - name: random_noise
+      scale: 0.0025
+    - name: non_linear_scaling
+      parameters:
+        function: tanh
+    - name: sharpening
+      intensity: 0.3
+    - name: gaussian_smoothing
+      sigma: 1.5
+    - name: smoothing
+      parameters:
+        adaptive: true
+        range: [0.8, 1.2]
+        kernel_size: 5
+    - name: normalize
+    - name: dynamic_scaling
+      scale_range: [0.75, 1.25]
+
+# Optional: Ties Merging (Advanced Technique)
+ties:
+  enabled: false  # Set to true if ties merging is required
+  method: greedy  # Options: greedy, optimal, random
+  layers: [0, 10, 20, 30]  # Example layers for ties merging

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