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README.md

@@ -0,0 +1,61 @@
+---
+base_model:
+- unsloth/Phi-3.5-mini-instruct
+- abhinav2024/phi-3.5-instruct-vul
+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:
+* [unsloth/Phi-3.5-mini-instruct](https://huggingface.co/unsloth/Phi-3.5-mini-instruct)
+* [abhinav2024/phi-3.5-instruct-vul](https://huggingface.co/abhinav2024/phi-3.5-instruct-vul)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+- sources:
+  - model: unsloth/Phi-3.5-mini-instruct
+    layer_range:
+    - 0
+    - 32
+  - model: abhinav2024/phi-3.5-instruct-vul
+    layer_range:
+    - 0
+    - 32
+merge_method: slerp
+base_model: unsloth/Phi-3.5-mini-instruct
+parameters:
+  t:
+  - filter: self_attn
+    value:
+    - 0
+    - 0.5
+    - 0.3
+    - 0.7
+    - 1
+  - filter: mlp
+    value:
+    - 1
+    - 0.5
+    - 0.7
+    - 0.3
+    - 0
+  - value: 0.5
+dtype: float16
+```

added_tokens.json

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+{
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+  "<|endoftext|>": 32000,
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+  "<|placeholder1|>": 32002,
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+  "<|placeholder6|>": 32009,
+  "<|system|>": 32006,
+  "<|user|>": 32010
+}

config.json

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+{
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+  "architectures": [
+    "LlamaForCausalLM"
+  ],
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+  "mlp_bias": false,
+  "model_type": "llama",
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+  "num_key_value_heads": 32,
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+  "pretraining_tp": 1,
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+  "use_cache": true,
+  "vocab_size": 32064
+}

mergekit_config.yml

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+slices:
+- sources:
+  - model: unsloth/Phi-3.5-mini-instruct
+    layer_range:
+    - 0
+    - 32
+  - model: abhinav2024/phi-3.5-instruct-vul
+    layer_range:
+    - 0
+    - 32
+merge_method: slerp
+base_model: unsloth/Phi-3.5-mini-instruct
+parameters:
+  t:
+  - filter: self_attn
+    value:
+    - 0
+    - 0.5
+    - 0.3
+    - 0.7
+    - 1
+  - filter: mlp
+    value:
+    - 1
+    - 0.5
+    - 0.7
+    - 0.3
+    - 0
+  - value: 0.5
+dtype: float16

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