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README.md

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 ---
-license: other
-license_name: mit-apache-2.0-dual-license
-license_link: LICENSE
+base_model:
+- teknium/OpenHermes-2.5-Mistral-7B
+- nlpguy/Hermes-low-tune-2
+- charlesdedampierre/TopicNeuralHermes-2.5-Mistral-7B
+- openaccess-ai-collective/openhermes-2_5-dpo-no-robots
+- flemmingmiguel/Mistrality-7B
+- beowolx/MistralHermes-CodePro-7B-v1
+tags:
+- mergekit
+- merge
+
 ---
+# merged
+
+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 [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [nlpguy/Hermes-low-tune-2](https://huggingface.co/nlpguy/Hermes-low-tune-2)
+* [charlesdedampierre/TopicNeuralHermes-2.5-Mistral-7B](https://huggingface.co/charlesdedampierre/TopicNeuralHermes-2.5-Mistral-7B)
+* [openaccess-ai-collective/openhermes-2_5-dpo-no-robots](https://huggingface.co/openaccess-ai-collective/openhermes-2_5-dpo-no-robots)
+* [flemmingmiguel/Mistrality-7B](https://huggingface.co/flemmingmiguel/Mistrality-7B)
+* [beowolx/MistralHermes-CodePro-7B-v1](https://huggingface.co/beowolx/MistralHermes-CodePro-7B-v1)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+base_model: teknium/OpenHermes-2.5-Mistral-7B
+dtype: bfloat16
+merge_method: task_arithmetic
+slices:
+- sources:
+  - layer_range: [0, 32]
+    model: teknium/OpenHermes-2.5-Mistral-7B
+  - layer_range: [0, 32]
+    model: nlpguy/Hermes-low-tune-2
+    parameters:
+      weight: 0.2
+  - layer_range: [0, 32]
+    model: beowolx/MistralHermes-CodePro-7B-v1
+    parameters:
+      weight: 0.2
+  - layer_range: [0, 32]
+    model: flemmingmiguel/Mistrality-7B
+    parameters:
+      weight: 0.2
+  - layer_range: [0, 32]
+    model: charlesdedampierre/TopicNeuralHermes-2.5-Mistral-7B
+    parameters:
+      weight: 0.2
+  - layer_range: [0, 32]
+    model: openaccess-ai-collective/openhermes-2_5-dpo-no-robots
+    parameters:
+      weight: 0.2
+```

added_tokens.json

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+{
+  "<|im_end|>": 32000,
+  "<|im_start|>": 32001
+}

config.json

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+{
+  "_name_or_path": "teknium/OpenHermes-2.5-Mistral-7B",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 32000,
+  "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": "bfloat16",
+  "transformers_version": "4.35.2",
+  "use_cache": false,
+  "vocab_size": 32002
+}

mergekit_config.yml

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+base_model: teknium/OpenHermes-2.5-Mistral-7B
+dtype: bfloat16
+merge_method: task_arithmetic
+slices:
+- sources:
+  - layer_range: [0, 32]
+    model: teknium/OpenHermes-2.5-Mistral-7B
+  - layer_range: [0, 32]
+    model: nlpguy/Hermes-low-tune-2
+    parameters:
+      weight: 0.2
+  - layer_range: [0, 32]
+    model: beowolx/MistralHermes-CodePro-7B-v1
+    parameters:
+      weight: 0.2
+  - layer_range: [0, 32]
+    model: flemmingmiguel/Mistrality-7B
+    parameters:
+      weight: 0.2
+  - layer_range: [0, 32]
+    model: charlesdedampierre/TopicNeuralHermes-2.5-Mistral-7B
+    parameters:
+      weight: 0.2
+  - layer_range: [0, 32]
+    model: openaccess-ai-collective/openhermes-2_5-dpo-no-robots
+    parameters:
+      weight: 0.2

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