---
base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
library_name: peft
pipeline_tag: text-generation
language: en
tags:
- deepseek
- text-generation
- conversational
---

# Microsoft 365 Data Management Expert

This model is fine-tuned from deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B for answering questions about Microsoft 365 data management, 
specifically focusing on SharePoint, OneDrive, and Teams. It provides detailed responses about:

- Data governance
- Retention policies
- Permissions management
- Version control
- Sensitivity labels
- Document lifecycle
- Compliance features
- And more

## Model Details

- **Base Model**: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
- **Training**: Fine-tuned using LoRA
- **Task**: Question-answering about Microsoft 365 data management
- **Language**: English
- **License**: Same as base model

## Usage

```python
from transformers import AutoTokenizer, AutoModelForCausalLM

model = AutoModelForCausalLM.from_pretrained("YOUR_USERNAME/microsoft365_expert")
tokenizer = AutoTokenizer.from_pretrained("YOUR_USERNAME/microsoft365_expert")

# Example usage
question = "What is data governance in Microsoft 365?"
inputs = tokenizer(question, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=2048)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(response)
```

## Limitations

- Responses are based on training data and may not reflect the latest Microsoft 365 updates
- Should be used as a reference, not as the sole source for compliance decisions
- May require fact-checking against official Microsoft documentation