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README.md

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+---
+base_model:
+- udkai/Turdus
+- Open-Orca/Mistral-7B-OpenOrca
+- mlabonne/NeuralBeagle14-7B
+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 [linear](https://arxiv.org/abs/2203.05482) merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* [udkai/Turdus](https://huggingface.co/udkai/Turdus)
+* [Open-Orca/Mistral-7B-OpenOrca](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca)
+* [mlabonne/NeuralBeagle14-7B](https://huggingface.co/mlabonne/NeuralBeagle14-7B)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+
+models:
+  - model: mlabonne/NeuralBeagle14-7B
+    parameters:
+      weight: 0.55
+  - model: udkai/Turdus
+    parameters:
+      weight: 0.15
+  - model: Open-Orca/Mistral-7B-OpenOrca
+    parameters:
+      weight: 0.3
+merge_method: linear
+dtype: float16
+
+# slices:
+#   - sources:
+#       - model: Open-Orca/Mistral-7B-OpenOrca
+#         layer_range: [0, 32]
+#       - model: mlabonne/NeuralBeagle14-7B
+#         layer_range: [0, 32]
+# merge_method: slerp
+# base_model: Open-Orca/Mistral-7B-OpenOrca
+# 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: bfloat16
+
+```

config.json

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+{
+  "_name_or_path": "udkai/Turdus",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "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,
+  "pad_token_id": 2,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.36.2",
+  "unsloth_version": "2024.1",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+
+models:
+  - model: mlabonne/NeuralBeagle14-7B
+    parameters:
+      weight: 0.55
+  - model: udkai/Turdus
+    parameters:
+      weight: 0.15
+  - model: Open-Orca/Mistral-7B-OpenOrca
+    parameters:
+      weight: 0.3
+merge_method: linear
+dtype: float16
+
+# slices:
+#   - sources:
+#       - model: Open-Orca/Mistral-7B-OpenOrca
+#         layer_range: [0, 32]
+#       - model: mlabonne/NeuralBeagle14-7B
+#         layer_range: [0, 32]
+# merge_method: slerp
+# base_model: Open-Orca/Mistral-7B-OpenOrca
+# 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: bfloat16

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