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license: apache-2.0
license_name: qwen-research
license_link: https://huggingface.co/Qwen/Qwen2.5-3B-Instruct/blob/main/LICENSE
language:
- en
pipeline_tag: text-generation
base_model: Qwen/Qwen2.5-3B-Instruct
library_name: transformers
tags:
- chat
- instruct
- assistant
---
# 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)
```python
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
```bash
pip install -U transformers accelerate torch sentencepiece
```
---
## 🧪 Example
**Prompt**
```text
Write a Python function to calculate factorial.
```
**Response**
```python
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**
---
© 2026 LeeChanRX Studio. |