初始化项目，由ModelHub XC社区提供模型

Model: andrijdavid/Macaroni-v2-7b
Source: Original Platform

README.md

@@ -0,0 +1,56 @@
+---
+base_model:
+- flemmingmiguel/MBX-7B-v3
+- mlabonne/OmniBeagle-7B
+- mistralai/Mistral-7B-v0.1
+- vanillaOVO/supermario_v4
+tags:
+- mergekit
+- merge
+license: apache-2.0
+language:
+- en
+---
+# Macaroni V2 7B
+
+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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) 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:
+* [flemmingmiguel/MBX-7B-v3](https://huggingface.co/flemmingmiguel/MBX-7B-v3)
+* [mlabonne/OmniBeagle-7B](https://huggingface.co/mlabonne/OmniBeagle-7B)
+* [vanillaOVO/supermario_v4](https://huggingface.co/vanillaOVO/supermario_v4)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: mistralai/Mistral-7B-v0.1
+    # no parameters necessary for base model
+  - model: flemmingmiguel/MBX-7B-v3
+    parameters:
+      density: 0.7
+      weight: 0.5
+  - model: vanillaOVO/supermario_v4
+    parameters:
+      density: 0.7
+      weight: 0.3
+  - model: mlabonne/OmniBeagle-7B
+    parameters:
+      density: 0.5
+      weight: 0.6
+merge_method: dare_ties
+base_model: mistralai/Mistral-7B-v0.1
+parameters:
+  int8_mask: true
+  normalize: true
+dtype: float16
+```