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README.md

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+---
+base_model:
+- mistralai/Mistral-7B-Instruct-v0.2
+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 [linear](https://arxiv.org/abs/2203.05482) merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+dtype: float16
+merge_method: linear
+slices:
+ - sources:
+      - layer_range: [0, 16] # Assuming the first half of the model is more general and can be reduced more
+        model: mistralai/Mistral-7B-Instruct-v0.2
+        parameters:
+          weight: 0.5 # Reduce the weight of the first half to make room for the second half
+      - layer_range: [16, 32] # Assuming the second half of the model is more specialized and can be reduced less
+        model: mistralai/Mistral-7B-Instruct-v0.2
+        parameters:
+          weight: 0.5 # Maintain the weight of the second half
+```

config.json

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+{
+  "_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
+  "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": 16,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.39.3",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+dtype: float16
+merge_method: linear
+slices:
+ - sources:
+      - layer_range: [0, 16] # Assuming the first half of the model is more general and can be reduced more
+        model: mistralai/Mistral-7B-Instruct-v0.2
+        parameters:
+          weight: 0.5 # Reduce the weight of the first half to make room for the second half
+      - layer_range: [16, 32] # Assuming the second half of the model is more specialized and can be reduced less
+        model: mistralai/Mistral-7B-Instruct-v0.2
+        parameters:
+          weight: 0.5 # Maintain the weight of the second half

model-00001-of-00001.safetensors

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model.safetensors.index.json

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special_tokens_map.json

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tokenizer_config.json

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