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README.md

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+---
+base_model:
+- cognitivecomputations/dolphin-2.2.1-mistral-7b
+- teknium/OpenHermes-2.5-Mistral-7B
+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:
+* [cognitivecomputations/dolphin-2.2.1-mistral-7b](https://huggingface.co/cognitivecomputations/dolphin-2.2.1-mistral-7b)
+* [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: teknium/OpenHermes-2.5-Mistral-7B
+  - model: cognitivecomputations/dolphin-2.2.1-mistral-7b
+merge_method: slerp
+base_model: teknium/OpenHermes-2.5-Mistral-7B
+dtype: bfloat16
+parameters:
+  t: [0.2, 0.3, 0.5, 0.7, 0.8]
+```

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"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 32000,
+  "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": "bfloat16",
+  "transformers_version": "4.45.2",
+  "use_cache": false,
+  "vocab_size": 32002
+}

mergekit_config.yml

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+models:
+  - model: teknium/OpenHermes-2.5-Mistral-7B
+  - model: cognitivecomputations/dolphin-2.2.1-mistral-7b
+merge_method: slerp
+base_model: teknium/OpenHermes-2.5-Mistral-7B
+dtype: bfloat16
+parameters:
+  t: [0.2, 0.3, 0.5, 0.7, 0.8]

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