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Model: Azazelle/Mocha-Sample-7b-ex
Source: Original Platform

README.md

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+---
+pipeline_tag: text-generation
+base_model:
+- mistralai/Mistral-7B-v0.1
+- WizardLM/WizardMath-7B-V1.1
+- akjindal53244/Mistral-7B-v0.1-Open-Platypus
+- Open-Orca/Mistral-7B-OpenOrca
+library_name: transformers
+tags:
+- mergekit
+- merge
+license: cc-by-4.0
+---
+# Moko-Sample-7b-ex
+
+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 sample_ties merge method using [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [WizardLM/WizardMath-7B-V1.1](https://huggingface.co/WizardLM/WizardMath-7B-V1.1)
+* [akjindal53244/Mistral-7B-v0.1-Open-Platypus](https://huggingface.co/akjindal53244/Mistral-7B-v0.1-Open-Platypus)
+* [Open-Orca/Mistral-7B-OpenOrca](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: Open-Orca/Mistral-7B-OpenOrca
+    parameters:
+      density: [1, 0.7, 0.1] # density gradient
+      weight: 1.0
+  - model: akjindal53244/Mistral-7B-v0.1-Open-Platypus
+    parameters:
+      density: 0.5
+      weight: [0, 0.3, 0.7, 1] # weight gradient
+  - model: WizardLM/WizardMath-7B-V1.1
+    parameters:
+      density: 0.33
+      weight:
+        - filter: mlp
+          value: 0.5
+        - value: 0
+merge_method: sample_ties
+base_model: mistralai/Mistral-7B-v0.1
+parameters:
+  int8_mask: true
+dtype: float16
+
+```