safetensors region:us
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# Phi 3.5 Mini Instruct

This repository hosts the **Phi 3.5 Mini Instruct** model, a fine-tuned version of the [Phi-3.5 base model](https://huggingface.co/unsloth/Phi-3.5-mini-instruct). It is optimized for instruction-following tasks and supports various downstream applications, such as question answering, summarization, and chatbot interactions.

## Model Overview

- **Base Model**: Phi-3.5-mini-instruct
- **Fine-Tuning Framework**: LoRA (Low-Rank Adaptation)
- **Quantization**: 4-bit quantized for efficient inference
- **Sequence Length**: Supports sequences up to 2048 tokens
- **Training Dataset**: Alpaca-style instruction-following dataset

## Features

- Optimized for instruction-following and conversational tasks
- Lightweight model leveraging 4-bit quantization
- Supports extended contexts via RoPE scaling (2048 tokens)

## Intended Use

### Applications
- **Conversational AI**: Develop chatbots for natural and engaging interactions
- **Text Summarization**: Generate concise summaries of input texts
- **Question Answering**: Provide accurate answers based on given context
- **Instruction Following**: Perform tasks based on detailed instructions

### Limitations
- The model may not perform well on tasks requiring knowledge outside its training data.
- Outputs should be validated in critical applications, such as healthcare or legal advice.

## Usage

### Installation
To use this model, first install the necessary dependencies:
```bash
pip install transformers accelerate
