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Model: Alelcv27/Llama3.1-8B-Base-DELLA-Math-Code
Source: Original Platform

README.md

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+---
+base_model:
+- Alelcv27/Llama3.1-8B-Base-Code
+- Alelcv27/Llama3.1-8B-Base-Math
+- meta-llama/Llama-3.1-8B
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# Llama3.1-8B-Base-DELLA-Math-Code
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [DELLA](https://arxiv.org/abs/2406.11617) merge method using [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [Alelcv27/Llama3.1-8B-Base-Code](https://huggingface.co/Alelcv27/Llama3.1-8B-Base-Code)
+* [Alelcv27/Llama3.1-8B-Base-Math](https://huggingface.co/Alelcv27/Llama3.1-8B-Base-Math)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+base_model: meta-llama/Llama-3.1-8B
+dtype: float16
+merge_method: della
+modules:
+  default:
+    slices:
+    - sources:
+      - layer_range: [0, 32]
+        model: Alelcv27/Llama3.1-8B-Base-Code
+        parameters:
+          density: 0.8
+          weight: 0.7
+      - layer_range: [0, 32]
+        model: Alelcv27/Llama3.1-8B-Base-Math
+        parameters:
+          density: 0.7
+          weight: 0.5
+      - layer_range: [0, 32]
+        model: meta-llama/Llama-3.1-8B
+parameters:
+  epsilon: 0.1
+  lambda: 0.9
+  normalize: 1.0
+```