QWEN-14B-Chat: Enhanced Multi-Turn Dialogue Model
Clone with HTTP
git clone https://www.modelscope.cn/AOC01936/qwen-14b-chat-sft.git
Introduction
QWEN-14B-Chat is an advanced language model, specifically fine-tuned for multi-turn dialogues. Building upon the robust QWEN-14B architecture, this model is optimized for maintaining context and coherence in extended conversations.
Fine-Tuning Process
Our fine-tuning approach leveraged a diverse and large-scale dataset of multi-turn dialogues, ensuring the model's adeptness in various conversational scenarios. This process involved:
- Curated data selection to cover a wide range of topics and dialogue structures.
- Rigorous training protocols to enhance context retention over multiple dialogue turns.
Model Capabilities
- Contextual Understanding: Excelling in tracking conversational context over long dialogue sequences.
- Coherent Responses: Generating coherent and contextually relevant responses.
- Adaptive Learning: Ability to learn from user interactions for continuous improvement.
Use Cases
Ideal for customer service automation, virtual assistance, and interactive chatbots in various domains like e-commerce, healthcare, and education.
Getting Started
To integrate QWEN-14B-Chat into your system:
- Ensure API compatibility with your existing infrastructure.
- Configure dialogue management settings according to your requirements.
- Test the integration with controlled dialogues before deployment.
Contribution
We welcome contributions from the community. Please submit your pull requests or issues via GitHub.
License
QWEN-14B-Chat is licensed under [LICENSE NAME], allowing for both academic and commercial use.
Acknowledgements
Our team extends gratitude to all contributors and the broader NLP community for their ongoing support and insights.
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