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README.md

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+---
+base_model:
+- nbeerbower/Lyra-Gutenberg-mistral-nemo-12B
+- NeverSleep/Lumimaid-v0.2-12B
+- ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1
+- v000000/NM-12B-Lyris-dev-3
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# ThisWontWork3
+
+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:
+* [nbeerbower/Lyra-Gutenberg-mistral-nemo-12B](https://huggingface.co/nbeerbower/Lyra-Gutenberg-mistral-nemo-12B)
+* [NeverSleep/Lumimaid-v0.2-12B](https://huggingface.co/NeverSleep/Lumimaid-v0.2-12B)
+* [v000000/NM-12B-Lyris-dev-3](https://huggingface.co/v000000/NM-12B-Lyris-dev-3)
+
+### 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: [0.01768, -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: [0.01768, -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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