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README.md

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+---
+license: apache-2.0
+tags:
+- merge
+- mergekit
+- mistralai/Mistral-7B-v0.1+predibase/customer_support
+- NousResearch/Nous-Hermes-2-Mistral-7B-DPO
+---
+
+# Mistral-Hermes-Support-Ties
+
+Mistral-Hermes-Support-Ties is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
+* [mistralai/Mistral-7B-v0.1+predibase/customer_support](https://huggingface.co/mistralai/Mistral-7B-v0.1+predibase/customer_support)
+* [NousResearch/Nous-Hermes-2-Mistral-7B-DPO](https://huggingface.co/NousResearch/Nous-Hermes-2-Mistral-7B-DPO)
+
+## 🧩 Configuration
+
+```yaml
+models:
+  - model: mistralai/Mistral-7B-Instruct-v0.2
+    #no parameters necessary for base model
+  - model: mistralai/Mistral-7B-v0.1+predibase/customer_support
+    parameters:
+      density: 0.5
+      weight: 0.5
+  - model: NousResearch/Nous-Hermes-2-Mistral-7B-DPO
+    parameters:
+      density: 0.5
+      weight: 0.5
+
+merge_method: ties
+base_model: mistralai/Mistral-7B-Instruct-v0.2
+parameters:
+  normalize: false
+  int8_mask: true
+dtype: float16
+
+```

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": 32,
+  "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": "4.38.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+
+models:
+  - model: mistralai/Mistral-7B-Instruct-v0.2
+    #no parameters necessary for base model
+  - model: mistralai/Mistral-7B-v0.1+predibase/customer_support
+    parameters:
+      density: 0.5
+      weight: 0.5
+  - model: NousResearch/Nous-Hermes-2-Mistral-7B-DPO
+    parameters:
+      density: 0.5
+      weight: 0.5
+
+merge_method: ties
+base_model: mistralai/Mistral-7B-Instruct-v0.2
+parameters:
+  normalize: false
+  int8_mask: true
+dtype: float16
+

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