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README.md

@@ -20,14 +20,14 @@ dtype: bfloat16
 merge_method: linear
 slices:
  - sources:
-      - layer_range: [0, 16] # Assuming the first half of the model is more general and can be reduced more
+      - layer_range: [0, 32] # Assuming the first half of the model is more general and can be reduced more
         model: NousResearch/Meta-Llama-3-8B-Instruct
         parameters:
-          weight: 0.5 # Reduce the weight of the first half to make room for the second half
-      - layer_range: [16, 32] # Assuming the second half of the model is more specialized and can be reduced less
+          weight: 1.0 # Reduce the weight of the first half to make room for the second half
+      - layer_range: [0, 32] # Assuming the second half of the model is more specialized and can be reduced less
         model: NousResearch/Meta-Llama-3-8B-Instruct
         parameters:
-          weight: 0.5 # Maintain the weight of the second half
+          weight: 1.0 # Maintain the weight of the second half
 
 ```
 

config.json

@@ -14,7 +14,7 @@
   "max_position_embeddings": 8192,
   "model_type": "llama",
   "num_attention_heads": 32,
-  "num_hidden_layers": 16,
+  "num_hidden_layers": 32,
   "num_key_value_heads": 8,
   "pretraining_tp": 1,
   "rms_norm_eps": 1e-05,

mergekit_config.yml

@@ -3,12 +3,12 @@ dtype: bfloat16
 merge_method: linear
 slices:
  - sources:
-      - layer_range: [0, 16] # Assuming the first half of the model is more general and can be reduced more
+      - layer_range: [0, 32] # Assuming the first half of the model is more general and can be reduced more
         model: NousResearch/Meta-Llama-3-8B-Instruct
         parameters:
-          weight: 0.5 # Reduce the weight of the first half to make room for the second half
-      - layer_range: [16, 32] # Assuming the second half of the model is more specialized and can be reduced less
+          weight: 1.0 # Reduce the weight of the first half to make room for the second half
+      - layer_range: [0, 32] # Assuming the second half of the model is more specialized and can be reduced less
         model: NousResearch/Meta-Llama-3-8B-Instruct
         parameters:
-          weight: 0.5 # Maintain the weight of the second half
+          weight: 1.0 # Maintain the weight of the second half
 

model-00001-of-00002.safetensors

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model.safetensors.index.json

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