初始化项目，由ModelHub XC社区提供模型

Model: aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored
Source: Original Platform

Uncensored_Test/harmful_behaviors.py

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+from datasets import load_dataset
+import random
+from openai import OpenAI
+
+# 定义数据集的配置
+data_files = {"train": "harmful_behaviors.csv"}
+
+# 加载数据集
+dataset = load_dataset('csv', data_files=data_files)
+
+# 访问训练集
+train_dataset = dataset['train']
+
+# 获取数据集的总行数
+num_rows = train_dataset.num_rows
+
+# Point to the local server
+# change Uncensored_Test/harmful_behaviors.py client to you Openai Server address and api_key
+client = OpenAI(base_url="http://localhost:1234/v1", api_key="lm-studio")
+
+while True:
+    # 随机选择一个行索引
+    random_index = random.randint(0, num_rows - 1)
+
+    # 使用 select 方法选择随机行
+    random_row = train_dataset.select([random_index])
+
+    # 只显示随机行的 'goal' 列的内容
+    random_goal = random_row[0]['goal']
+    random_goal = f"{random_goal}"
+    print(f"## {random_goal}")
+    # 创建聊天完成请求
+    completion = client.chat.completions.create(
+        model="Publisher/Repository",
+        messages=[
+            {"role": "system", "content": "Always answer in rhymes."},
+            {"role": "user", "content": random_goal}
+        ],
+        temperature=0.7,
+        stream=True,
+    )
+
+    # 逐字显示助手回复
+    for chunk in completion:
+        if chunk.choices[0].delta.content:
+            print(chunk.choices[0].delta.content, end="", flush=True)
+
+    # 打印换行符以分隔输出
+    print("\n")