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README.md

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+---
+base_model:
+- Nohobby/YetAnotherMerge-v0.3
+- MarinaraSpaghetti/NemoReRemix-12B
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# merge
+
+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 merge method using [MarinaraSpaghetti/NemoReRemix-12B](https://huggingface.co/MarinaraSpaghetti/NemoReRemix-12B) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [Nohobby/YetAnotherMerge-v0.3](https://huggingface.co/Nohobby/YetAnotherMerge-v0.3)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+base_model: MarinaraSpaghetti/NemoReRemix-12B
+parameters:
+  int8_mask: true
+  rescale: true
+  normalize: false
+merge_method: della
+dtype: bfloat16
+models:
+  - model: Nohobby/YetAnotherMerge-v0.3
+    parameters:
+      density: [0.45, 0.55, 0.45, 0.55, 0.45]
+      epsilon: [0.1, 0.1, 0.25, 0.1, 0.1]
+      lambda: 0.85
+      weight: [0.55, 0.45, 0.55, 0.45, 0.55]
+```

config.json

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+{
+  "_name_or_path": "MarinaraSpaghetti/NemoReRemix-12B",
+  "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": "4.44.0",
+  "use_cache": true,
+  "vocab_size": 131072
+}

mergekit_config.yml

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+base_model: MarinaraSpaghetti/NemoReRemix-12B
+parameters:
+  int8_mask: true
+  rescale: true
+  normalize: false
+merge_method: della
+dtype: bfloat16
+models:
+  - model: Nohobby/YetAnotherMerge-v0.3
+    parameters:
+      density: [0.45, 0.55, 0.45, 0.55, 0.45]
+      epsilon: [0.1, 0.1, 0.25, 0.1, 0.1]
+      lambda: 0.85
+      weight: [0.55, 0.45, 0.55, 0.45, 0.55]

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