actually these layers

README.md

@@ -28,13 +28,13 @@ The following YAML configuration was used to produce this model:
 slices:
   - sources:
     - model: h2oai/h2o-danube2-1.8b-base
-      layer_range: [0, 21]
+      layer_range: [0, 23]
   - sources:
     - model: h2oai/h2o-danube2-1.8b-base
       layer_range: [16, 21]
   - sources:
     - model: h2oai/h2o-danube2-1.8b-base
-      layer_range: [22, 24]
+      layer_range: [21, 23]
 merge_method: passthrough
 dtype: bfloat16
 

config.json

@@ -13,7 +13,7 @@
   "max_position_embeddings": 8192,
   "model_type": "mistral",
   "num_attention_heads": 32,
-  "num_hidden_layers": 28,
+  "num_hidden_layers": 30,
   "num_key_value_heads": 8,
   "rms_norm_eps": 1e-05,
   "rope_theta": 10000,

mergekit_config.yml

@@ -1,13 +1,13 @@
 slices:
   - sources:
     - model: h2oai/h2o-danube2-1.8b-base
-      layer_range: [0, 21]
+      layer_range: [0, 23]
   - sources:
     - model: h2oai/h2o-danube2-1.8b-base
       layer_range: [16, 21]
   - sources:
     - model: h2oai/h2o-danube2-1.8b-base
-      layer_range: [22, 24]
+      layer_range: [21, 23]
 merge_method: passthrough
 dtype: bfloat16
 

model-00001-of-00001.safetensors

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+oid sha256:a9443ac81607ba544cb240fe1cf9f2e12e953b3efd145293c5cd2deefbe0f0f1
+size 4496113448

model.safetensors.index.json

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