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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,62 @@
+---
+base_model:
+- Vortex5/Abyssal-Seraph-12B
+- Vortex5/LunaMaid-12B
+- Vortex5/MegaMoon-Karcher-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](https://arxiv.org/abs/2406.11617) merge method using [Vortex5/MegaMoon-Karcher-12B](https://huggingface.co/Vortex5/MegaMoon-Karcher-12B) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [Vortex5/Abyssal-Seraph-12B](https://huggingface.co/Vortex5/Abyssal-Seraph-12B)
+* [Vortex5/LunaMaid-12B](https://huggingface.co/Vortex5/LunaMaid-12B)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+
+models:
+  - model: Vortex5/LunaMaid-12B
+    parameters:
+      weight:
+        - filter: self_attn
+          value: [0.35, 0.4, 0.6, 0.8, 1.0, 0.9, 0.6, 0.3]
+        - filter: mlp
+          value: [0.20, 0.25, 0.35, 0.45, 0.45, 0.40, 0.30, 0.20]
+        - value: [0.25, 0.3, 0.35, 0.4, 0.4, 0.35, 0.3, 0.25]
+      density: 0.55
+      epsilon: 0.3
+
+  - model: Vortex5/Abyssal-Seraph-12B
+    parameters:
+      weight:
+        - filter: mlp
+          value: [0.3, 0.5, 0.8, 1.0, 1.0, 0.9, 0.7, 0.4]
+        - value: [0.2, 0.3, 0.4, 0.5, 0.5, 0.4, 0.3, 0.2]
+      density: 0.5
+      epsilon: 0.4
+merge_method: della
+base_model: Vortex5/MegaMoon-Karcher-12B
+parameters:
+  lambda: 1.0
+  normalize: true
+dtype: bfloat16
+tokenizer:
+  source: Vortex5/Abyssal-Seraph-12B
+
+```

config.json

@@ -0,0 +1,26 @@
+{
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "dtype": "bfloat16",
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 131072,
+  "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,
+  "transformers_version": "4.57.1",
+  "use_cache": false,
+  "vocab_size": 131075
+}

mergekit_config.yml

@@ -0,0 +1,29 @@
+
+models:
+  - model: Vortex5/LunaMaid-12B
+    parameters:
+      weight:
+        - filter: self_attn
+          value: [0.35, 0.4, 0.6, 0.8, 1.0, 0.9, 0.6, 0.3]
+        - filter: mlp
+          value: [0.20, 0.25, 0.35, 0.45, 0.45, 0.40, 0.30, 0.20]
+        - value: [0.25, 0.3, 0.35, 0.4, 0.4, 0.35, 0.3, 0.25]
+      density: 0.55
+      epsilon: 0.3
+
+  - model: Vortex5/Abyssal-Seraph-12B
+    parameters:
+      weight:
+        - filter: mlp
+          value: [0.3, 0.5, 0.8, 1.0, 1.0, 0.9, 0.7, 0.4]
+        - value: [0.2, 0.3, 0.4, 0.5, 0.5, 0.4, 0.3, 0.2]
+      density: 0.5
+      epsilon: 0.4
+merge_method: della
+base_model: Vortex5/MegaMoon-Karcher-12B
+parameters:
+  lambda: 1.0
+  normalize: true
+dtype: bfloat16
+tokenizer:
+  source: Vortex5/Abyssal-Seraph-12B

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model.safetensors.index.json

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