Bravètto View on GitHub
🔥

Pimp My Mac

Free optimization tool for Apple Silicon AI developers

pimp_my_mac.py
$ python pimp_my_mac.py
🔍 Detected: M3 Max with 48GB RAM
🎯 Target: Maximum performance optimization
💾 Creating optimized configurations...
✅ Training: m3_max_training.yaml
✅ SDK: m3_max_sdk_example.py
✅ Benchmark: m3_max_benchmark.yaml
⚡ Batch size: 12 (3x M1)
🧠 Sequence length: 1024 (2x M1)
🔥 Data workers: 8
✅ Your Mac is now PIMPED and ready to ROCK!

What It Does

Auto-Detect Hardware

Instantly recognizes your Mac specs:
M1, M2, M3, M3 Max, M3 Pro
8GB, 16GB, 32GB, 48GB, 64GB RAM

🎯

Generate Configs

Creates optimized YAML configs for:
Training (batch size, workers)
Inference (sequence length, device)

🚀

Ready to Use

Outputs plug-and-play configs:
Training YAML + SDK example
Benchmark suite included

Real Performance Gains

37K+
Tokens/sec
on M3 Max
3x
Faster than
M1 baseline
8x
Larger batch
sizes
Free
Open source
forever

Quick Start

# 1. Clone ABE-41M repository
git clone https://github.com/bravetto/abe-41M.git
# 2. Run the optimizer
python pimp_my_mac.py
# 3. Use generated configs
python unified_training.py --config configs/m3_max_training.yaml

Part of ABE-41M

Pimp My Mac is part of the ABE-41M project — a 41-million parameter spiking neural network optimized for conversational AI. Built with biological inspiration and hardware efficiency in mind.

Explore ABE-41M

Ready to Pimp Your Mac?

Free. Open source. Optimized for Apple Silicon.

Download Pimp My Mac