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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
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+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,73 @@
+---
+base_model:
+- bamec66557/mergekit-slerp-xjlmywj
+- bamec66557/MISCHIEVOUS-12B-Mix_0.3v
+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-xjlmywj](https://huggingface.co/bamec66557/mergekit-slerp-xjlmywj)
+* [bamec66557/MISCHIEVOUS-12B-Mix_0.3v](https://huggingface.co/bamec66557/MISCHIEVOUS-12B-Mix_0.3v)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+  - sources:
+      - model: bamec66557/mergekit-slerp-xjlmywj
+        layer_range: [0, 20]
+      - model: bamec66557/MISCHIEVOUS-12B-Mix_0.3v
+        layer_range: [0, 20]
+    parameters:
+      t:
+        - value: 0.8
+
+  - sources:
+      - model: bamec66557/mergekit-slerp-xjlmywj
+        layer_range: [20, 40]
+      - model: bamec66557/MISCHIEVOUS-12B-Mix_0.3v
+        layer_range: [20, 40]
+    parameters:
+      t:
+        - value: 1.0
+        - filter: self_attn
+          value: [0.8, 0.9, 1.0, 1.1, 1.2]
+
+merge_method: slerp  # 병합 방법 유지
+
+base_model: bamec66557/mergekit-slerp-xjlmywj  # 기본 모델
+
+dtype: bfloat16  # 빠른 병합을 위한 데이터 타입
+
+# 추가 옵션
+regularization:
+  - method: weight_clipping
+    clip_range: [-0.1, 0.1]
+
+postprocessing:
+  - operation: gaussian_smoothing
+    sigma: 1.5  # 가우시안 스무싱 강도
+  - operation: smoothing
+    parameters:
+      adaptive: true
+      range: [0.8, 1.2]  # 적응적으로 조정
+      kernel_size: 5  # 커널 크기 증가로 더 넓은 범위 스무딩
+  - operation: normalize  # 병합 후 정규화
+
+```

config.json

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+{
+  "_name_or_path": "bamec66557/mergekit-slerp-xjlmywj",
+  "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

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+slices:
+  - sources:
+      - model: bamec66557/mergekit-slerp-xjlmywj
+        layer_range: [0, 20]
+      - model: bamec66557/MISCHIEVOUS-12B-Mix_0.3v
+        layer_range: [0, 20]
+    parameters:
+      t:
+        - value: 0.8
+
+  - sources:
+      - model: bamec66557/mergekit-slerp-xjlmywj
+        layer_range: [20, 40]
+      - model: bamec66557/MISCHIEVOUS-12B-Mix_0.3v
+        layer_range: [20, 40]
+    parameters:
+      t:
+        - value: 1.0
+        - filter: self_attn
+          value: [0.8, 0.9, 1.0, 1.1, 1.2]
+
+merge_method: slerp  # 병합 방법 유지
+
+base_model: bamec66557/mergekit-slerp-xjlmywj  # 기본 모델
+
+dtype: bfloat16  # 빠른 병합을 위한 데이터 타입
+
+# 추가 옵션
+regularization:
+  - method: weight_clipping
+    clip_range: [-0.1, 0.1]
+
+postprocessing:
+  - operation: gaussian_smoothing
+    sigma: 1.5  # 가우시안 스무싱 강도
+  - operation: smoothing
+    parameters:
+      adaptive: true
+      range: [0.8, 1.2]  # 적응적으로 조정
+      kernel_size: 5  # 커널 크기 증가로 더 넓은 범위 스무딩
+  - operation: normalize  # 병합 후 정규화

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