metadata

base_model: microsoft/phi-4
library_name: peft
license: mit
datasets:
  - vicgalle/alpaca-gpt4
language:
  - en
pipeline_tag: text-generation

Model Card for FlowerTune-phi-4-NLP-PEFT

This PEFT adapter has been trained by using Flower, a friendly federated AI framework.

The adapter and benchmark results have been submitted to the FlowerTune LLM NLP Leaderboard.

Model Details

Please check the following GitHub project for model details and evaluation results:

https://github.com/mrs83/FlowerTune-phi-4-NLP

How to Get Started with the Model

Use this model as:

from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-4")
model = PeftModel.from_pretrained(base_model, "mrs83/FlowerTune-phi-4-NLP-PEFT")

Evaluation Results (Accuracy)

STEM: 40.66 %
Social Sciences: 74.52 %
Humanities: 51.75 %
Average: 55.64 %

Communication Budget

45804.69 Megabytes

Framework versions

PEFT 0.14.0
Flower 1.13.0