metadata

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

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