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Model: LeeChanRX/LeeChan-3B-Instruct Source: Original Platform
2026-08-26 01:18:19 +08:00
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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.