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README.md

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+---
+base_model:
+- TheBloke/Wizard-Vicuna-7B-Uncensored-HF
+- QuixiAI/WizardLM-7B-Uncensored
+- meta-llama/Llama-2-7b-hf
+- ausboss/llama7b-wizardlm-unfiltered
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# merge_output
+
+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 [Linear DARE](https://arxiv.org/abs/2311.03099) merge method using [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [TheBloke/Wizard-Vicuna-7B-Uncensored-HF](https://huggingface.co/TheBloke/Wizard-Vicuna-7B-Uncensored-HF)
+* [QuixiAI/WizardLM-7B-Uncensored](https://huggingface.co/QuixiAI/WizardLM-7B-Uncensored)
+* [ausboss/llama7b-wizardlm-unfiltered](https://huggingface.co/ausboss/llama7b-wizardlm-unfiltered)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+- model: QuixiAI/WizardLM-7B-Uncensored
+  parameters:
+    density: 0.5
+    weight: 1.1
+- model: ausboss/llama7b-wizardlm-unfiltered
+  parameters:
+    density: 0.5
+    weight: 0.3333333333333333
+- model: TheBloke/Wizard-Vicuna-7B-Uncensored-HF
+  parameters:
+    density: 0.5
+    weight: 0.5
+merge_method: dare_linear
+base_model: meta-llama/Llama-2-7b-hf
+parameters:
+  int8_mask: false
+  rescale: true
+dtype: bfloat16
+
+```

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "dtype": "bfloat16",
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 4096,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "transformers_version": "4.57.1",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+models:
+- model: QuixiAI/WizardLM-7B-Uncensored
+  parameters:
+    density: 0.5
+    weight: 1.1
+- model: ausboss/llama7b-wizardlm-unfiltered
+  parameters:
+    density: 0.5
+    weight: 0.3333333333333333
+- model: TheBloke/Wizard-Vicuna-7B-Uncensored-HF
+  parameters:
+    density: 0.5
+    weight: 0.5
+merge_method: dare_linear
+base_model: meta-llama/Llama-2-7b-hf
+parameters:
+  int8_mask: false
+  rescale: true
+dtype: bfloat16

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