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README.md

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+---
+base_model:
+- Alphacode-AI/AlphaMist7B-slr-v3
+- refarde/Mistral-7B-Instruct-v0.2-Ko-S-Core
+- AIdenU/Mistral-7b-ko-Y24-DPO_v0.1
+- Edentns/DataVortexM-7B-Instruct-v0.1
+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 della merge method using [Edentns/DataVortexM-7B-Instruct-v0.1](https://huggingface.co/Edentns/DataVortexM-7B-Instruct-v0.1) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [Alphacode-AI/AlphaMist7B-slr-v3](https://huggingface.co/Alphacode-AI/AlphaMist7B-slr-v3)
+* [refarde/Mistral-7B-Instruct-v0.2-Ko-S-Core](https://huggingface.co/refarde/Mistral-7B-Instruct-v0.2-Ko-S-Core)
+* [AIdenU/Mistral-7b-ko-Y24-DPO_v0.1](https://huggingface.co/AIdenU/Mistral-7b-ko-Y24-DPO_v0.1)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+  - sources:
+      - model: Edentns/DataVortexM-7B-Instruct-v0.1
+        layer_range: [0, 32]
+        parameters:
+            weight: 1.0
+      - model: refarde/Mistral-7B-Instruct-v0.2-Ko-S-Core
+        layer_range: [0, 32]
+        parameters:
+            weight: 1.0
+      - model: Alphacode-AI/AlphaMist7B-slr-v3
+        layer_range: [0, 32]
+        parameters:
+            weight: 1.0
+      - model: AIdenU/Mistral-7b-ko-Y24-DPO_v0.1
+        layer_range: [0, 32]
+        parameters:
+            weight: 1.0
+merge_method: della
+base_model: Edentns/DataVortexM-7B-Instruct-v0.1
+parameters:
+  normalize: true
+  int8_mask: true
+  density: 0.7
+  lambda: 1.1
+  epsilon: 0.2
+dtype: bfloat16
+```

config.json

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+{
+  "_name_or_path": "Edentns/DataVortexM-7B-Instruct-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": 1000000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.45.0.dev0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+slices:
+  - sources:
+      - model: Edentns/DataVortexM-7B-Instruct-v0.1
+        layer_range: [0, 32]
+        parameters:
+            weight: 1.0
+      - model: refarde/Mistral-7B-Instruct-v0.2-Ko-S-Core
+        layer_range: [0, 32]
+        parameters:
+            weight: 1.0
+      - model: Alphacode-AI/AlphaMist7B-slr-v3
+        layer_range: [0, 32]
+        parameters:
+            weight: 1.0
+      - model: AIdenU/Mistral-7b-ko-Y24-DPO_v0.1
+        layer_range: [0, 32]
+        parameters:
+            weight: 1.0
+merge_method: della
+base_model: Edentns/DataVortexM-7B-Instruct-v0.1
+parameters:
+  normalize: true
+  int8_mask: true
+  density: 0.7
+  lambda: 1.1
+  epsilon: 0.2
+dtype: bfloat16

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