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README.md

@@ -30,10 +30,10 @@ base_model: mlabonne/DareBeagle-7B-v2
 parameters:
   t:
     - filter: self_attn
-      value: [0.9, 0.7, 0.8, 0.7, 1]
+      value: [0.5, 0.7, 0.3, 0.7, 1]
     - filter: mlp
-      value: [0.1, 0.3, 0.2, 0.3, 0]
-    - value: 0.45
+      value: [0.5, 0.3, 0.7, 0.3, 0]
+    - value: 0.5
 dtype: bfloat16
 ```
 

config.json

@@ -0,0 +1,25 @@
+{
+  "_name_or_path": "mlabonne/DareBeagle-7B-v2",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.35.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

@@ -0,0 +1,17 @@
+
+slices:
+  - sources:
+      - model: mlabonne/NeuralBeagle14-7B
+        layer_range: [0, 32]
+      - model: mlabonne/DareBeagle-7B-v2
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: mlabonne/DareBeagle-7B-v2
+parameters:
+  t:
+    - filter: self_attn
+      value: [0.5, 0.7, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [0.5, 0.3, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16

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