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Model: CorticalStack/pastiche-crown-clown-7b-dare
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---
license: apache-2.0
tags:
- merge
- mergekit
- bardsai/jaskier-7b-dpo-v5.6
- mlabonne/AlphaMonarch-7B
- mlabonne/NeuralMonarch-7B
- macadeliccc/MBX-7B-v3-DPO
---
<img src="pastiche-crown-clown.png" alt="Pastiche crown clown logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# 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):
* [bardsai/jaskier-7b-dpo-v5.6](https://huggingface.co/bardsai/jaskier-7b-dpo-v5.6)
* [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B)
* [mlabonne/NeuralMonarch-7B](https://huggingface.co/mlabonne/NeuralMonarch-7B)
* [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: bardsai/jaskier-7b-dpo-v5.6
- model: mlabonne/AlphaMonarch-7B
parameters:
density: 0.53
weight: 0.2
- model: mlabonne/NeuralMonarch-7B
parameters:
density: 0.53
weight: 0.4
- model: macadeliccc/MBX-7B-v3-DPO
parameters:
density: 0.53
weight: 0.4
merge_method: dare_ties
base_model: bardsai/jaskier-7b-dpo-v5.6
parameters:
int8_mask: true
dtype: bfloat16
```

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{
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"architectures": [
"MistralForCausalLM"
],
"attention_dropout": 0.0,
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"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": "4.38.1",
"use_cache": true,
"vocab_size": 32000
}

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models:
- model: bardsai/jaskier-7b-dpo-v5.6
# No parameters necessary for base model
- model: mlabonne/AlphaMonarch-7B
parameters:
density: 0.53
weight: 0.2
- model: mlabonne/NeuralMonarch-7B
parameters:
density: 0.53
weight: 0.4
- model: macadeliccc/MBX-7B-v3-DPO
parameters:
density: 0.53
weight: 0.4
merge_method: dare_ties
base_model: bardsai/jaskier-7b-dpo-v5.6
parameters:
int8_mask: true
dtype: bfloat16

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