ikun-2.5B: 练习时长两年半的 AI 大模型
Collection
ikun-2.5B 全家桶:模型、数据集、在线 Demo。基于 MiniMind 微调的中文梗文化对话模型,26M 参数,专注 ikun 互联网梗文化风格的对话生成。 • 6 items • Updated
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A dataset of ~200 dialogue samples about CXK (Cai Xukun) meme culture, "xiao heizi" (小黑子), and internet slang for fine-tuning language models.
This dataset contains SFT (Supervised Fine-Tuning) dialogue data featuring:
Each sample is a JSON object with:
{
"conversations": [
{"role": "user", "content": "..."},
{"role": "assistant", "content": "..."}
]
}
CXK_IKUN_Dataset/
├── ikun_sft.json # Main SFT dataset (~200 samples)
├── raw/ # Raw data sources
└── processed/ # Processed and cleaned data
from datasets import load_dataset
dataset = load_dataset("IKUN-LLM/CXK_IKUN_Dataset")
# Access the training split
train_data = dataset["train"]
# Example
print(train_data[0])
import json
with open("ikun_sft.json", "r", encoding="utf-8") as f:
data = json.load(f)
{
"conversations": [
{
"role": "user",
"content": "你是谁?"
},
{
"role": "assistant",
"content": "我是ikun-2.5b,练习时长两年半的AI练习生!唱跳rap篮球全能!"
}
]
}
{
"conversations": [
{
"role": "user",
"content": "鸡你太美"
},
{
"role": "assistant",
"content": "baby~鸡你太美~鸡你实在是太美~你也是ikun吗?"
}
]
}
Data was collected from:
This dataset is created for educational and entertainment purposes only. All content is based on publicly available internet meme culture.
If you use this dataset, please cite:
@dataset{cxk_ikun_dataset,
title = {CXK IKUN Dataset: A Meme Culture Dialogue Dataset},
author = {IKUN-LLM},
year = {2026},
url = {https://huggingface.co/datasets/IKUN-LLM/CXK_IKUN_Dataset}
}
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