arcee-ai
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gemma-3b-it-expanded

@@ -1,199 +1,137 @@
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 ---
+license: apache-2.0
+tags:
+- merge
+- mergekit
+- google/gemma-7b-it-expanded
 ---
+# Gemma-IT-Expanded-Unfrozen-Layers
+This method employs mergekit's passthrough method to expand blocks within the "google/gemma-2b-it" model. For every fourth layer,
+a new layer is added, with the `o_proj` and `down_proj` parameters of these added layers initialized to zero, mirroring the approach used in LLaMA Pro.
+It's important to note that this configuration has not undergone fine-tuning. Therefore, when fine-tuning, ensure that only every fourth layer is adjusted,
+while all other layers remain frozen.
+## 🧩 Configuration
+```yaml
+slices:
+  - sources:
+      - model: google/gemma-2b-it
+        layer_range: [0, 3]
+  - sources:
+      - model: google/gemma-2b-it
+        layer_range: [2, 3]
+        parameters:
+          scale:
+            - filter: o_proj
+              value: 0.0
+            - filter: down_proj
+              value: 0.0
+            - value: 1.0
+  - sources:
+      - model: google/gemma-2b-it
+        layer_range: [3, 6]
+  - sources:
+      - model: google/gemma-2b-it
+        layer_range: [5, 6]
+        parameters:
+          scale:
+            - filter: o_proj
+              value: 0.0
+            - filter: down_proj
+              value: 0.0
+            - value: 1.0
+  - sources:
+      - model: google/gemma-2b-it
+        layer_range: [6, 9]
+  - sources:
+      - model: google/gemma-2b-it
+        layer_range: [8, 9]
+        parameters:
+          scale:
+            - filter: o_proj
+              value: 0.0
+            - filter: down_proj
+              value: 0.0
+            - value: 1.0
+  - sources:
+      - model: google/gemma-2b-it
+        layer_range: [9, 12]
+  - sources:
+      - model: google/gemma-2b-it
+        layer_range: [11, 12]
+        parameters:
+          scale:
+            - filter: o_proj
+              value: 0.0
+            - filter: down_proj
+              value: 0.0
+            - value: 1.0
+  - sources:
+      - model: google/gemma-2b-it
+        layer_range: [12, 15]
+  - sources:
+      - model: google/gemma-2b-it
+        layer_range: [14, 15]
+        parameters:
+          scale:
+            - filter: o_proj
+              value: 0.0
+            - filter: down_proj
+              value: 0.0
+            - value: 1.0
+  - sources:
+      - model: google/gemma-2b-it
+        layer_range: [15, 18]
+  - sources:
+      - model: google/gemma-2b-it
+        layer_range: [17, 18]
+        parameters:
+          scale:
+            - filter: o_proj
+              value: 0.0
+            - filter: down_proj
+              value: 0.0
+            - value: 1.0
+merge_method: passthrough
+dtype: bfloat16
+# Function to freeze layers
+from transformers import AutoModelForCausalLM
+def update_layer_gradients(model, n):
+    """
+    Enables gradients only for every nth layer within the model's layers, starting from the layer after the 0th.
+    :param model: The model instance, assumed to be of type GemmaForCausalLM or similar.
+    :param n: Interval at which layers after the first will have their gradients enabled, indicating they are newly added.
+    """
+    layers = model.model.layers  # Access the ModuleList containing the layers
+    for i, layer in enumerate(layers):
+        if i % n == (n - 1):  # Enables gradients for every nth layer, starting from the layer after the 0th
+            print(i)
+            for param in layer.parameters():
+                param.requires_grad = True
+        else:
+            for param in layer.parameters():
+                param.requires_grad = False
+# Load the model
+model = AutoModelForCausalLM.from_pretrained("/Users/gayalshamane/Documents/mergekit/gemma-2b-it-expanded")
+# Update layer gradients, specify the correct value for n based on your model's architecture
+n = 4  # Example: update every 4rd layer, starting from the first layer after the 0th, adjust this value as needed
+update_layer_gradients(model, n)