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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)) |