yothinS/Qwen3.5-4B-CRM
yothinS/Qwen3.5-4B-CRM is a 4.5 billion parameter causal language model developed by yothinS, fine-tuned from unsloth/Qwen3.5-4B. This model is meticulously optimized for Customer Relationship Management (CRM) and Customer Behavior Analysis, trained on the yothinS/Customer_Behavior_Analysis dataset. It excels at decoding customer insights, predicting consumer behaviors, and delivering high-impact, professional CRM recommendations, supporting both Thai and English languages.
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Qwen3.5-4B CRM Specialist
This model, developed by yothinS, is a 4.5 billion parameter causal language model fine-tuned from unsloth/Qwen3.5-4B. Its core specialization lies in Customer Relationship Management (CRM) and Customer Behavior Analysis, achieved through training on the yothinS/Customer_Behavior_Analysis dataset. The model is designed to provide deep customer insights and predictive behavioral trends, supporting both Thai and English languages.
Key Capabilities
- CRM Chatbot: Provides context-aware, personalized customer interactions.
- CRM Agent: Automates routine customer management tasks and streamlines workflows.
- CRM Analyzer: Evaluates customer data to uncover insights and predict future behaviors.
Intended Uses
This model functions as a CRM Specialist AI, suitable for integration into CRM platforms, customer support, and marketing analytics. It is particularly effective for:
- Analyzing customer feedback and sentiment.
- Generating data-driven insights from purchase history.
- Crafting personalized customer retention strategies and email marketing copy.
- Assisting support agents with context-aware recommendations.
Training Details
The model was optimized using Unsloth for efficient training, employing LoRA/QLoRA methods within PyTorch and Hugging Face Transformers. It is licensed under Apache-2.0.