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README.md

@@ -1,3 +1,60 @@
 ---
-license: apache-2.0
+base_model: []
+library_name: transformers
+tags:
+- mergekit
+- merge
+
 ---
+# NemoMix-Unleashed-12B
+
+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 E:\mergekit\mistralaiMistral-Nemo-Base-2407 as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* E:\mergekit\intervitens_mini-magnum-12b-v1.1
+* E:\mergekit\nbeerbower_mistral-nemo-bophades-12B
+* E:\mergekit\Sao10K_MN-12B-Lyra-v1
+* E:\mergekit\nbeerbower_mistral-nemo-gutenberg-12B
+* E:\mergekit\mistralaiMistral-Nemo-Instruct-2407
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: E:\mergekit\mistralaiMistral-Nemo-Instruct-2407
+    parameters:
+      weight: 0.1
+      density: 0.4
+  - model: E:\mergekit\nbeerbower_mistral-nemo-bophades-12B
+    parameters:
+      weight: 0.12
+      density: 0.5
+  - model: E:\mergekit\nbeerbower_mistral-nemo-gutenberg-12B
+    parameters:
+      weight: 0.2
+      density: 0.6
+  - model: E:\mergekit\Sao10K_MN-12B-Lyra-v1
+    parameters:
+      weight: 0.25
+      density: 0.7
+  - model: E:\mergekit\intervitens_mini-magnum-12b-v1.1
+    parameters:
+      weight: 0.33
+      density: 0.8
+merge_method: della_linear
+base_model: E:\mergekit\mistralaiMistral-Nemo-Base-2407
+parameters:
+  epsilon: 0.05
+  lambda: 1
+dtype: bfloat16
+tokenizer_source: base
+```

config.json

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+{
+  "_name_or_path": "E:\\mergekit\\mistralaiMistral-Nemo-Base-2407",
+  "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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+models:
+  - model: E:\mergekit\mistralaiMistral-Nemo-Instruct-2407
+    parameters:
+      weight: 0.1
+      density: 0.4
+  - model: E:\mergekit\nbeerbower_mistral-nemo-bophades-12B
+    parameters:
+      weight: 0.12
+      density: 0.5
+  - model: E:\mergekit\nbeerbower_mistral-nemo-gutenberg-12B
+    parameters:
+      weight: 0.2
+      density: 0.6
+  - model: E:\mergekit\Sao10K_MN-12B-Lyra-v1
+    parameters:
+      weight: 0.25
+      density: 0.7
+  - model: E:\mergekit\intervitens_mini-magnum-12b-v1.1
+    parameters:
+      weight: 0.33
+      density: 0.8
+merge_method: della_linear
+base_model: E:\mergekit\mistralaiMistral-Nemo-Base-2407
+parameters:
+  epsilon: 0.05
+  lambda: 1
+dtype: bfloat16
+tokenizer_source: base

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model.safetensors.index.json

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