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README.md

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+---
+base_model:
+- ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1
+- NeverSleep/Lumimaid-v0.2-12B
+- nbeerbower/Lyra-Gutenberg-mistral-nemo-12B
+- v000000/NM-12B-Lyris-dev-3
+- elinas/Chronos-Gold-12B-1.0
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# ThisWontWork4
+
+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 della_linear merge method using [ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1](https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [NeverSleep/Lumimaid-v0.2-12B](https://huggingface.co/NeverSleep/Lumimaid-v0.2-12B)
+* [nbeerbower/Lyra-Gutenberg-mistral-nemo-12B](https://huggingface.co/nbeerbower/Lyra-Gutenberg-mistral-nemo-12B)
+* [v000000/NM-12B-Lyris-dev-3](https://huggingface.co/v000000/NM-12B-Lyris-dev-3)
+* [elinas/Chronos-Gold-12B-1.0](https://huggingface.co/elinas/Chronos-Gold-12B-1.0)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+ - model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1
+ parameters:
+ weight: [0.2, 0.3, 0.2, 0.3, 0.2]
+ density: [0.45, 0.55, 0.45, 0.55, 0.45]
+ - model: NeverSleep/Lumimaid-v0.2-12B
+ parameters:
+ weight: [0.165, 0.295, 0.295, 0.165, 0.165, 0.295, 0.295, 0.165]
+ density: [0.5]
+ - model: elinas/Chronos-Gold-12B-1.0
+ parameters:
+ weight: [0.01768, -0.01675, 0.01285, -0.01696, 0.01421]
+ density: [0.6, 0.4, 0.5, 0.4, 0.6]
+ - model: v000000/NM-12B-Lyris-dev-3
+ parameters:
+ weight: [0.208, 0.139, 0.139, 0.139, 0.208]
+ density: [0.7]
+ - model: nbeerbower/Lyra-Gutenberg-mistral-nemo-12B
+ parameters:
+ weight: [0.33]
+ density: [0.45, 0.55, 0.45, 0.55, 0.45]
+merge_method: della_linear
+base_model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1
+parameters:
+ epsilon: 0.04
+ lambda: 1.05
+ int8_mask: true
+ rescale: true
+ normalize: false
+dtype: bfloat16
+tokenizer_source: base
+```

config.json

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+{
+ "_name_or_path": "ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1",
+ "architectures": [
+ "MistralForCausalLM"
+ ],
+ "attention_dropout": 0.0,
+ "bos_token_id": 1,
+ "eos_token_id": 2,
+ "head_dim": 128,
+ "hidden_act": "silu",
+ "hidden_size": 5120,
+ "initializer_range": 0.02,
+ "intermediate_size": 14336,
+ "max_position_embeddings": 1024000,
+ "model_type": "mistral",
+ "num_attention_heads": 32,
+ "num_hidden_layers": 40,
+ "num_key_value_heads": 8,
+ "rms_norm_eps": 1e-05,
+ "rope_theta": 1000000.0,
+ "sliding_window": null,
+ "tie_word_embeddings": false,
+ "torch_dtype": "bfloat16",
+ "transformers_version": "4.44.2",
+ "use_cache": false,
+ "vocab_size": 131072
+}

mergekit_config.yml

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+models:
+ - model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1
+ parameters:
+ weight: [0.2, 0.3, 0.2, 0.3, 0.2]
+ density: [0.45, 0.55, 0.45, 0.55, 0.45]
+ - model: NeverSleep/Lumimaid-v0.2-12B
+ parameters:
+ weight: [0.165, 0.295, 0.295, 0.165, 0.165, 0.295, 0.295, 0.165]
+ density: [0.5]
+ - model: elinas/Chronos-Gold-12B-1.0
+ parameters:
+ weight: [0.01768, -0.01675, 0.01285, -0.01696, 0.01421]
+ density: [0.6, 0.4, 0.5, 0.4, 0.6]
+ - model: v000000/NM-12B-Lyris-dev-3
+ parameters:
+ weight: [0.208, 0.139, 0.139, 0.139, 0.208]
+ density: [0.7]
+ - model: nbeerbower/Lyra-Gutenberg-mistral-nemo-12B
+ parameters:
+ weight: [0.33]
+ density: [0.45, 0.55, 0.45, 0.55, 0.45]
+merge_method: della_linear
+base_model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1
+parameters:
+ epsilon: 0.04
+ lambda: 1.05
+ int8_mask: true
+ rescale: true
+ normalize: false
+dtype: bfloat16
+tokenizer_source: base

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