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README.md

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+---
+license: apache-2.0
+tags:
+- merge
+- mergekit
+- mlabonne/AlphaMonarch-7B
+- bardsai/jaskier-7b-dpo-v5.6
+- macadeliccc/MBX-7B-v3-DPO
+---
+
+# pastiche-crown-clown-7B-dare
+
+pastiche-crown-clown-7B-dare is a DARE merge of the following models using [mergekit](https://github.com/cg123/mergekit):
+* [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B)
+* [bardsai/jaskier-7b-dpo-v5.6](https://huggingface.co/bardsai/jaskier-7b-dpo-v5.6)
+* [macadeliccc/MBX-7B-v3-DPO](https://huggingface.co/macadeliccc/MBX-7B-v3-DPO)
+
+See the paper [Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch](https://arxiv.org/abs/2311.03099) for more on the method.
+
+## 🧩 Configuration
+
+```yaml
+models:
+  - model: mlabonne/NeuralMonarch-7B
+    # No parameters necessary for base model
+  - model: mlabonne/AlphaMonarch-7B
+    parameters:
+      density: 0.53
+      weight: 0.4
+  - model: bardsai/jaskier-7b-dpo-v5.6
+    parameters:
+      density: 0.53
+      weight: 0.3
+  - model: macadeliccc/MBX-7B-v3-DPO
+    parameters:
+      density: 0.53
+      weight: 0.3
+merge_method: dare_ties
+base_model: mlabonne/NeuralMonarch-7B
+parameters:
+  int8_mask: true
+dtype: bfloat16
+```

config.json

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+{
+  "_name_or_path": "mlabonne/NeuralMonarch-7B",
+  "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": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.37.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+
+models:
+  - model: mlabonne/NeuralMonarch-7B
+    # No parameters necessary for base model
+  - model: mlabonne/AlphaMonarch-7B
+    parameters:
+      density: 0.53
+      weight: 0.4
+  - model: bardsai/jaskier-7b-dpo-v5.6
+    parameters:
+      density: 0.53
+      weight: 0.3
+  - model: macadeliccc/MBX-7B-v3-DPO
+    parameters:
+      density: 0.53
+      weight: 0.3
+merge_method: dare_ties
+base_model: mlabonne/NeuralMonarch-7B
+parameters:
+  int8_mask: true
+dtype: bfloat16

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