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Zkare/Chatbot_Ielts_Assistant_v2
Chatbot_Ielts_Assistant_v2 is a text generation model from Zkare. Use it when you need the model to write or continue text. The card lists the license as apache-2.0.
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 explanation…
Downloads · 30 days
55
9% of all-time downloads
All-time downloads
632
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From the Hugging Face model README
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.
| 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 |
This model is suitable for:
NOT recommended for:
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))