Chatbot_Ielts_Assistant_v2/README.md

language, pretty_name, license, tags, base_model

language	pretty_name	license	tags	base_model
en vi	Chatbot IELTS Assistant v2	apache-2.0	qwen3 chatbot conversational ielts education text-generation	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.

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📌 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

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🎯 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

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🚀 How to Use

Python (Transformers)

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))