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README.md

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+---
+base_model:
+- mistralai/Mistral-Nemo-Instruct-2407
+- NeverSleep/Lumimaid-v0.2-12B
+- Undi95/LocalC-12B-e2.0
+- intervitens/mini-magnum-12b-v1.1
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+
+Merge of Lumimaid and Magnum as requested by some.
+
+I used the new DELLA merge method in mergekit and added a finetune of Nemo only on Claude input, trained on 16k ctx, in the mix.
+
+# Prompt template: Mistral
+
+```
+<s>[INST] {input} [/INST] {output}</s>
+```

config.json

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+{
+    "_name_or_path": "mistralai/Mistral-Nemo-Instruct-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.dev0",
+    "use_cache": true,
+    "vocab_size": 131072,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.1.9",
+        "bits": 8.0,
+        "head_bits": 8,
+        "calibration": {
+            "rows": 115,
+            "length": 2048,
+            "dataset": "(default)"
+        }
+    }
+}

mergekit_config.yml

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+base_model: mistralai/Mistral-Nemo-Instruct-2407
+merge_method: della
+dtype: bfloat16
+models:
+  - model: intervitens/mini-magnum-12b-v1.1
+    parameters:
+      weight: 1.0
+  - model: Undi95/LocalC-12B-e2.0
+    parameters:
+      weight: 1.0
+  - model: NeverSleep/Lumimaid-v0.2-12B
+    parameters:
+      weight: 1.0
+  - model: mistralai/Mistral-Nemo-Instruct-2407
+    parameters:
+      weight: 1.0

model.safetensors.index.json

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