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metadata
title: Microsoft Phi-2 Neuroscience
emoji: 🧠
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 5.20.0
app_file: app.py
pinned: false
Neuroscience Fine-tuned Phi-2 Model
This is a Gradio app to interact with a neuroscience-specific fine-tuned version of Microsoft's Phi-2 model.
Model Description
This model is fine-tuned from Microsoft's Phi-2 using LoRA (Low-Rank Adaptation) to specialize in neuroscience domain content. It's designed to assist with:
- Neuroscience research questions
- Explanations of neurological concepts
- Summaries of recent findings in the field
- Assistance with neuroscience-related topics
Training Details
- Base Model: Microsoft Phi-2 (2.7B parameters)
- Training Type: LoRA fine-tuning
- Training Dataset: BrainGPT/train_valid_split_pmc_neuroscience_2002-2022_filtered_subset
- Parameter-Efficient Fine-Tuning: Used LoRA with r=16, alpha=32
Space Features
This Gradio interface allows you to:
- Input prompts related to neuroscience
- Adjust generation parameters (temperature, top-p, etc.)
- Try example prompts to see the model's capabilities
Model Repository
The model weights are available at alaamostafa/Microsoft-Phi-2
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference