# Qwen3.5-9B Benchmark

Comprehensive benchmark suite for Qwen3.5-9B model performance testing.

## Overview

This project provides tools to evaluate:
- Inference speed and throughput
- Concurrency performance
- GPU memory usage
- Model accuracy on standard NLP tasks
- Hardware compatibility

## Project Structure

- `src/` - Core source code modules
- `tests/` - Unit tests
- `benchmarks/` - Benchmark execution scripts
- `results/` - Output directory for benchmark results
- `scripts/` - Utility scripts

## Quick Start

1. Install dependencies:
   ```bash
   pip install -r requirements.txt
   ```

2. Configure environment:
   ```bash
   cp .env.example .env
   # Edit .env as needed
   ```

3. Download model:
   ```bash
   python scripts/download_model.py
   ```

4. Run benchmarks:
   ```bash
   python run_benchmarks.py
   ```

## Hardware Requirements

See `docs/hardware_requirements.md` for detailed GPU compatibility information.

## License

MIT