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README.md

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+---
+base_model:
+- nvidia/OpenMath-Mistral-7B-v0.1-hf
+- teknium/OpenHermes-2.5-Mistral-7B
+- teknium/CollectiveCognition-v1.1-Mistral-7B
+- HuggingFaceH4/zephyr-7b-beta
+- mlabonne/NeuralHermes-2.5-Mistral-7B
+- mistralai/Mistral-7B-v0.1
+- OpenPipe/mistral-ft-optimized-1218
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# merged_models_6
+
+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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [nvidia/OpenMath-Mistral-7B-v0.1-hf](https://huggingface.co/nvidia/OpenMath-Mistral-7B-v0.1-hf)
+* [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B)
+* [teknium/CollectiveCognition-v1.1-Mistral-7B](https://huggingface.co/teknium/CollectiveCognition-v1.1-Mistral-7B)
+* [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta)
+* [mlabonne/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B)
+* [OpenPipe/mistral-ft-optimized-1218](https://huggingface.co/OpenPipe/mistral-ft-optimized-1218)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: mistralai/Mistral-7B-v0.1
+    # no parameters necessary for base model
+  - model: OpenPipe/mistral-ft-optimized-1218
+    parameters:
+      density: 0.5
+      weight: 0.4
+  - model: mlabonne/NeuralHermes-2.5-Mistral-7B
+    parameters:
+      density: 0.5
+      weight: 0.3
+  - model: HuggingFaceH4/zephyr-7b-beta
+    parameters:
+      density: 0.5
+      weight: 0.3
+  - model: nvidia/OpenMath-Mistral-7B-v0.1-hf
+    parameters:
+      density: 0.5
+      weight: 0.2
+  - model: teknium/OpenHermes-2.5-Mistral-7B
+    parameters:
+      density: 0.5
+      weight: 0.5
+  - model: teknium/CollectiveCognition-v1.1-Mistral-7B
+    parameters:
+      density: 0.5
+      weight: 0.3
+merge_method: ties
+base_model: mistralai/Mistral-7B-v0.1
+parameters:
+  normalize: true
+dtype: float16
+```

config.json

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+{
+  "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": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.51.3",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+models:
+  - model: mistralai/Mistral-7B-v0.1
+    # no parameters necessary for base model
+  - model: OpenPipe/mistral-ft-optimized-1218
+    parameters:
+      density: 0.5
+      weight: 0.4
+  - model: mlabonne/NeuralHermes-2.5-Mistral-7B
+    parameters:
+      density: 0.5
+      weight: 0.3
+  - model: HuggingFaceH4/zephyr-7b-beta
+    parameters:
+      density: 0.5
+      weight: 0.3
+  - model: nvidia/OpenMath-Mistral-7B-v0.1-hf
+    parameters:
+      density: 0.5
+      weight: 0.2
+  - model: teknium/OpenHermes-2.5-Mistral-7B
+    parameters:
+      density: 0.5
+      weight: 0.5
+  - model: teknium/CollectiveCognition-v1.1-Mistral-7B
+    parameters:
+      density: 0.5
+      weight: 0.3
+merge_method: ties
+base_model: mistralai/Mistral-7B-v0.1
+parameters:
+  normalize: true
+dtype: float16

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