初始化项目，由ModelHub XC社区提供模型

Model: jambroz/sixtyoneeighty-7b
Source: Original Platform

README.md

@@ -0,0 +1,54 @@
+---
+base_model:
+- Intel/neural-chat-7b-v3-1
+- mlabonne/AlphaMonarch-7B
+- HuggingFaceH4/zephyr-7b-beta
+- mlabonne/NeuralBeagle14-7B
+library_name: transformers
+tags:
+- mergekit
+- merge
+license: apache-2.0
+---
+# merge
+
+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 [mlabonne/NeuralBeagle14-7B](https://huggingface.co/mlabonne/NeuralBeagle14-7B) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [Intel/neural-chat-7b-v3-1](https://huggingface.co/Intel/neural-chat-7b-v3-1)
+* [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B)
+* [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+base_model: mlabonne/NeuralBeagle14-7B
+dtype: bfloat16
+merge_method: dare_ties
+models:
+- model: mlabonne/NeuralBeagle14-7B
+- model: mlabonne/AlphaMonarch-7B
+  parameters:
+    density: '0.53'
+    weight: '0.4'
+- model: Intel/neural-chat-7b-v3-1
+  parameters:
+    density: '0.53'
+    weight: '0.3'
+- model: HuggingFaceH4/zephyr-7b-beta
+  parameters:
+    density: '0.53'
+    weight: '0.3'
+parameters:
+  int8_mask: true
+
+```