初始化项目，由ModelHub XC社区提供模型

Model: Xiaojian9992024/Qwen2.5-THREADRIPPER-Small
Source: Original Platform

mergekit_config.yml

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+merge_method: della_linear
+base_model: Qwen/Qwen2.5-7B-Instruct
+dtype: bfloat16
+parameters:
+  epsilon: 0.015            # Fine-grain scaling for precision.
+  lambda: 1.6               # Strong emphasis on top-performing models.
+  normalize: true           # Stable parameter integration across models.
+adaptive_merge_parameters:
+  task_weights:
+    tinyArc: 1.75           # Logical reasoning.
+    tinyHellaswag: 1.65     # Contextual predictions.
+    tinyMMLU: 1.8           # Domain knowledge.
+    tinyTruthfulQA: 2.0     # Prioritize truthful reasoning.
+    tinyTruthfulQA_mc1: 1.85
+    tinyWinogrande: 1.9     # Advanced reasoning and predictions.
+    IFEval: 2.1             # Instruction-following and multitasking.
+    BBH: 2.25                # Complex reasoning.
+    MATH: 2.4               # Mathematical reasoning.
+    GPQA: 2.35             # Factual QA.
+    MUSR: 2.3             # Multi-step reasoning.
+    MMLU-PRO: 2.35       # Domain multitask performance.
+  smoothing_factor: 0.05     # TURN UP THE SMOOTH!
+models:
+  - model: Qwen/Qwen2.5-7B-Instruct
+    parameters:
+      weight: 0.65
+      density: 0.65
+  - model: huihui-ai/Qwen2.5-7B-Instruct-abliterated-v3
+    parameters:
+      weight: 0.1
+      density: 0.1
+  - model: rombodawg/Rombos-LLM-V2.5-Qwen-7b
+    parameters:
+      weight: 0.15
+      density: 0.15
+  - model: fblgit/cybertron-v4-qw7B-MGS
+    parameters:
+      weight: 0.05
+      density: 0.05
+  - model: FreedomIntelligence/HuatuoGPT-o1-7B
+    parameters:
+      weight: 0.05
+      density: 0.05