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README.md

@@ -0,0 +1,50 @@
+---
+base_model:
+- jpacifico/Chocolatine-3B-Instruct-DPO-Revised
+- microsoft/Phi-3.5-mini-instruct
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# my-output
+
+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:
+* [jpacifico/Chocolatine-3B-Instruct-DPO-Revised](https://huggingface.co/jpacifico/Chocolatine-3B-Instruct-DPO-Revised)
+* [microsoft/Phi-3.5-mini-instruct](https://huggingface.co/microsoft/Phi-3.5-mini-instruct)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+
+slices:
+  - sources:
+      - model: jpacifico/Chocolatine-3B-Instruct-DPO-Revised
+        layer_range: [0, 32]
+      - model: microsoft/Phi-3.5-mini-instruct
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: microsoft/Phi-3.5-mini-instruct
+parameters:
+  t:
+    - filter: self_attn
+      value: [1, 0.75, 0.5, 0.25, 0]
+    - filter: mlp
+      value: [0, 0.25, 0.5, 0.75, 1]
+    - value: 0.5
+dtype: bfloat16
+
+
+```

added_tokens.json

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+  "<|user|>": 32010
+}

config.json

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+{
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+  "architectures": [
+    "Phi3ForCausalLM"
+  ],
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+  "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoConfig": "microsoft/Phi-3.5-mini-instruct--configuration_phi3.Phi3Config",
+    "AutoModelForCausalLM": "microsoft/Phi-3.5-mini-instruct--modeling_phi3.Phi3ForCausalLM"
+  },
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+}

mergekit_config.yml

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+
+slices:
+  - sources:
+      - model: jpacifico/Chocolatine-3B-Instruct-DPO-Revised
+        layer_range: [0, 32]
+      - model: microsoft/Phi-3.5-mini-instruct
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: microsoft/Phi-3.5-mini-instruct
+parameters:
+  t:
+    - filter: self_attn
+      value: [1, 0.75, 0.5, 0.25, 0]
+    - filter: mlp
+      value: [0, 0.25, 0.5, 0.75, 1]
+    - value: 0.5
+dtype: bfloat16
+

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