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ModelHub XC 1906e2a990 初始化项目，由ModelHub XC社区提供模型

Model: LeeChanRX/LeeChan-3B-Instruct
Source: Original Platform

2026-08-26 01:18:19 +08:00

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LeeChan-3B-Instruct

Developed by LeeChanRX Studio

LeeChan-3B-Instruct is a customized conversational AI model developed by LeeChanRX Studio. It is designed for chat, coding, reasoning, writing, mathematics, translation, and general-purpose AI assistance.

✨ Features

🤖 Intelligent AI Assistant
💻 Code Generation & Debugging
🧠 Advanced Reasoning
📚 Question Answering
✍️ Content Writing
🌍 Multilingual Support
📄 JSON & Structured Output
⚡ GGUF Optimized
📝 Long Context Conversations

📊 Model Information

Property	Value
Model Name	LeeChan-3B-Instruct
Developer	LeeChanRX Studio
Parameters	3.09 Billion
Architecture	Transformer
Context Length	32,768 Tokens
Max Generation	8,192 Tokens
Format	Hugging Face Transformers

🚀 Usage

Python (Transformers)

from transformers import AutoTokenizer, AutoModelForCausalLM
import torch

model_name = "LeeChanRX/LeeChan-3B-Instruct"

tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(
    model_name,
    device_map="auto",
    torch_dtype="auto"
)

messages = [
    {
        "role": "system",
        "content": "You are LeeChan-3B-Instruct, developed by LeeChanRX Studio."
    },
    {
        "role": "user",
        "content": "Hello! Introduce yourself."
    }
]

text = tokenizer.apply_chat_template(
    messages,
    tokenize=False,
    add_generation_prompt=True
)

inputs = tokenizer(text, return_tensors="pt").to(model.device)

outputs = model.generate(
    **inputs,
    max_new_tokens=512,
    temperature=0.7,
    top_p=0.9
)

response = tokenizer.decode(
    outputs[0][inputs.input_ids.shape[-1]:],
    skip_special_tokens=True
)

print(response)

⚙️ Recommended Settings

Parameter	Value
Temperature	0.7
Top-p	0.9
Top-k	40
Repeat Penalty	1.1
Max Tokens	2048–8192

📦 Installation

pip install -U transformers accelerate torch sentencepiece

🧪 Example

Prompt

Write a Python function to calculate factorial.

Response

def factorial(n):
    if n <= 1:
        return 1
    return n * factorial(n - 1)

📜 License

This project is distributed under the original license applicable to the base model.

For complete license information, see:

https://huggingface.co/Qwen/Qwen2.5-3B-Instruct/blob/main/LICENSE

👨‍💻 Developer

LeeChanRX Studio

Building lightweight, efficient, and open AI assistants.

📌 Version

LeeChan-3B-Instruct v1.0.0

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