nairanu6115/phi3-mini
The nairanu6115/phi3-mini is a 3.8 billion parameter language model, fine-tuned from Microsoft's Phi-3-mini-4k-instruct using QLoRA. This model is specifically optimized for answering questions related to enterprise resource planning (ERP) concepts, workflows, and processes. It excels at providing information on topics such as procurement, accounts payable, purchase orders, and inventory management, making it ideal for ERP-specific knowledge retrieval.
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Phi-3 Mini · ERP Assistant
This model, developed by nairanu6115, is a specialized fine-tuned version of Microsoft's Phi-3-mini-4k-instruct. It leverages QLoRA (4-bit quantization) to efficiently adapt the base model for a niche domain. With 3.8 billion parameters, it is designed to serve as an ERP assistant, providing detailed answers to questions about enterprise resource planning.
Key Capabilities
- ERP-Specific Q&A: Excels at answering questions on ERP concepts, workflows, and processes.
- Domain Expertise: Provides information on procurement, accounts payable, purchase orders, inventory, and related topics.
- Efficient Fine-tuning: Utilizes QLoRA for effective adaptation to the ERP documentation corpus.
Limitations
- Domain Specificity: Primarily performs well on ERP-related questions and may not be suitable for general-purpose tasks.
- Model Size: As a 3.8B parameter model, responses might occasionally be incomplete or require prompt refinement.
- Verification Needed: Critical ERP configuration advice should always be verified against official vendor documentation.
Training Details
The model was fine-tuned using an internal ERP documentation corpus, focusing on instruction following and question answering within the ERP domain. The training employed QLoRA with 4-bit quantization via bitsandbytes and the HuggingFace transformers and peft frameworks.