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ushasree2001/
qwen_chatbot

Name: qwen_chatbot
Rating: 2.5 (8 reviews)

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qwen2

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Qwen-Chatbot: Instruction-Tuned Educational Conversational Model

Overview

Qwen-Chatbot is a fine-tuned large language model designed for educational conversational use cases. The model was trained to provide structured, clear, and context-aware responses, with emphasis on explanation quality and instructional dialogue rather than open-ended creativity.

Task

Educational chatbot interaction
Question answering with explanations
Conversational tutoring assistance

Training Details

Base model: Qwen family language model
Fine-tuning approach: Instruction tuning
Dataset: Custom-curated conversational instruction data
Training environment: Single-GPU setup
Objective: Improve response clarity, coherence, and instructional usefulness

Intended Use

This model is intended for academic research, educational chatbots, and experimentation with conversational AI systems. It is not designed for deployment in production or safety-critical environments.

Limitations

The model has not been evaluated using standard conversational benchmarks.
Responses may be verbose for simple queries.
Hallucinations may occur for out-of-domain or ambiguous prompts.

Notes

This model was developed as part of MSc-level academic coursework.
The focus was on conversational structure and pedagogical clarity.
Future work may include dataset expansion and formal quantitative evaluation.

Changelog

August 2025: Initial fine-tuned release
Planned: Improved instruction dataset and evaluation metrics

Example Usage

python

from transformers import pipeline

chatbot = pipeline("text-generation", model="ushasree2001/qwen_chatbot")
chatbot("How to find the factors of a number?")