初始化项目，由ModelHub XC社区提供模型

Model: Kukedlc/NeuralArjuna-7B-DT
Source: Original Platform

mergekit_config.yml

@@ -0,0 +1,31 @@
+
+models:
+  - model: liminerity/M7-7b
+    # no parameters necessary for base model
+  - model: yam-peleg/Experiment26-7B 
+    parameters:
+      weight: 0.2
+      density: 0.66
+  - model: Gille/StrangeMerges_32-7B-slerp
+    parameters:
+      weight: 0.2
+      density: 0.55
+  - model: MSL7/INEX12-7b 
+    parameters:
+      weight: 0.2
+      density: 0.33
+  - model: automerger/YamShadow-7B
+    parameters:
+      weight: 0.2
+      density: 0.66
+  - model: Kukedlc/NeuralSirKrishna-7b
+    parameters:
+      weight: 0.2
+      density: 0.66
+merge_method: dare_ties
+base_model: liminerity/M7-7b
+
+parameters:
+  int8_mask: true
+  normalize: true
+dtype: bfloat16