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README.md

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+---
+license: apache-2.0
+tags:
+- merge
+- mergekit
+---
+
+# THEALTH-TIES
+
+This model is a merge of the following models made with [mergekit](https://github.com/cg123/mergekit):
+ * [OpenPipe/mistral-ft-optimized-1218](https://huggingface.co/OpenPipe/mistral-ft-optimized-1218)
+ * [mlabonne/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B)
+
+## 🧩 Configuration
+
+```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: 0.5
+ - model: mlabonne/NeuralHermes-2.5-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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+{
+ "_name_or_path": "mistralai/Mistral-7B-v0.1",
+ "architectures": [
+ "MistralForCausalLM"
+ ],
+ "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": 10000.0,
+ "sliding_window": 4096,
+ "tie_word_embeddings": false,
+ "torch_dtype": "float16",
+ "transformers_version": "4.35.2",
+ "use_cache": true,
+ "vocab_size": 32000
+}

model-00001-of-00002.safetensors

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