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Model: Alelcv27/Minerva-7B-Breadcrumbs-Math-French
Source: Original Platform

README.md

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+---
+base_model:
+- Alelcv27/Minerva-7B-French-v2
+- Alelcv27/Minerva-7B-Math-v2
+- sapienzanlp/Minerva-7B-instruct-v1.0
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# Minerva-7B-Breadcrumbs-Math-French
+
+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 [Model Breadcrumbs](https://arxiv.org/abs/2312.06795) merge method using [sapienzanlp/Minerva-7B-instruct-v1.0](https://huggingface.co/sapienzanlp/Minerva-7B-instruct-v1.0) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [Alelcv27/Minerva-7B-French-v2](https://huggingface.co/Alelcv27/Minerva-7B-French-v2)
+* [Alelcv27/Minerva-7B-Math-v2](https://huggingface.co/Alelcv27/Minerva-7B-Math-v2)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+base_model: sapienzanlp/Minerva-7B-instruct-v1.0
+dtype: float16
+merge_method: breadcrumbs
+modules:
+  default:
+    slices:
+    - sources:
+      - layer_range: [0, 32]
+        model: Alelcv27/Minerva-7B-French-v2
+        parameters:
+          weight: 0.8
+      - layer_range: [0, 32]
+        model: Alelcv27/Minerva-7B-Math-v2
+        parameters:
+          weight: 0.8
+      - layer_range: [0, 32]
+        model: sapienzanlp/Minerva-7B-instruct-v1.0
+parameters:
+  density: 0.9
+  gamma: 0.01
+  normalize: 1.0
+```