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README.md

@@ -1,7 +1,7 @@
 ---
 base_model:
-- tensorplex-labs/pretraining-sn9-7B-2
 - tensorplex-labs/pretraining-sn9-7B-5
+- tensorplex-labs/pretraining-sn9-7B-2
 library_name: transformers
 tags:
 - mergekit
@@ -20,8 +20,8 @@ This model was merged using the SLERP merge method.
 ### Models Merged
 
 The following models were included in the merge:
-* [tensorplex-labs/pretraining-sn9-7B-2](https://huggingface.co/tensorplex-labs/pretraining-sn9-7B-2)
 * [tensorplex-labs/pretraining-sn9-7B-5](https://huggingface.co/tensorplex-labs/pretraining-sn9-7B-5)
+* [tensorplex-labs/pretraining-sn9-7B-2](https://huggingface.co/tensorplex-labs/pretraining-sn9-7B-2)
 
 ### Configuration
 
@@ -32,9 +32,9 @@ The following YAML configuration was used to produce this model:
 slices:
   - sources:
       - model: tensorplex-labs/pretraining-sn9-7B-2
-        layer_range: [0, 29]
+        layer_range: [0, 30]
       - model: tensorplex-labs/pretraining-sn9-7B-5
-        layer_range: [0, 29]
+        layer_range: [0, 30]
 merge_method: slerp
 base_model: tensorplex-labs/pretraining-sn9-7B-5
 parameters:

config.json

@@ -14,7 +14,7 @@
   "max_position_embeddings": 4096,
   "model_type": "llama",
   "num_attention_heads": 32,
-  "num_hidden_layers": 29,
+  "num_hidden_layers": 30,
   "num_key_value_heads": 32,
   "pretraining_tp": 1,
   "rms_norm_eps": 1e-05,

mergekit_config.yml

@@ -2,9 +2,9 @@
 slices:
   - sources:
       - model: tensorplex-labs/pretraining-sn9-7B-2
-        layer_range: [0, 29]
+        layer_range: [0, 30]
       - model: tensorplex-labs/pretraining-sn9-7B-5
-        layer_range: [0, 29]
+        layer_range: [0, 30]
 merge_method: slerp
 base_model: tensorplex-labs/pretraining-sn9-7B-5
 parameters:

model-00001-of-00002.safetensors

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model.safetensors.index.json

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