---
language:
- en
- vi
pretty_name: Chatbot IELTS Assistant v2
license: apache-2.0
tags:
- qwen3
- chatbot
- conversational
- ielts
- education
- text-generation
base_model:
- Qwen/Qwen3-4B-Instruct-2507
---

# 📘 Chatbot IELTS Assistant v2

**Chatbot IELTS Assistant v2** is a fine-tuned conversational language model built on **Qwen3-4B-2507**, designed to assist learners preparing for the **IELTS exam**.  
It provides natural dialogue responses and helpful explanations for Speaking, Writing, Reading, Listening, vocabulary, and grammar.

---

## 📌 Model Summary

| Attribute        | Value |
|------------------|-------|
| **Model type**   | Conversational LLM |
| **Base model**   | Qwen3-4B-2507 |
| **Training**     | Fine-tuned for IELTS-related dialogue |
| **Languages**    | English, Vietnamese |
| **License**      | Apache-2.0 |
| **Intended use** | IELTS learning assistant |

---

## 🎯 Intended Use Cases

This model is suitable for:

- IELTS Speaking practice  
- IELTS Writing task explanations  
- Vocabulary & grammar guidance  
- English learning conversation  
- General educational Q&A  

**NOT recommended for:**

- Legal, medical, financial advice  
- High-risk decision making  
- Producing official IELTS scores  

---

## 🚀 How to Use

### Python (Transformers)

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "Zkare/Chatbot_Ielts_Assistant_v2"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto")

prompt = "Help me practice IELTS Speaking Part 2."
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=180)

print(tokenizer.decode(outputs[0], skip_special_tokens=True))