TurboQuant on a MacBook Pro, part 2: perplexity, KL divergence, and asymmetric K/V on M5 Max

1. 1Run TurboQuant on a MacBook Pro with M5 Max chip to measure perplexity and KL divergence
2. 2Configure asymmetric K/V settings to optimize performance
3. 3Compare results with symmetric K/V settings to determine the best approach
4. 4Apply the optimized settings to your AI model to improve throughput and reduce memory usage
5. 5Test the model with a 64K data point to evaluate its performance

Data scientists and AI engineers can benefit from this tutorial to optimize their models on MacBook Pros with M5 Max chips

💡 Asymmetric K/V settings can significantly improve performance on M5 Max chips, with q8_0 KV being essentially free at 4k context

✅ Optimize TurboQuant on MacBook Pro with M5 Max using perplexity, KL divergence, and asymmetric K/V for improved performance! #AI #MacBookPro