Local

LM Studio provides a remarkable tool that empowers users to efficiently run quantized Large Language Models (LLMs) locally. I have identified three standout features:

  1. A user-friendly built-in model browser.
  2. Inclusive built-in API functionality.
  3. Enhanced support for Apple Metal.

Apple Metal demonstrated a remarkable 2.8x improvement in tokens per second using the LLaMa CPP-based approach on a 16GB M1 MacBook Pro with Orca2 7B Q3.

This tool proves invaluable for local idea testing, offering a convenient and powerful solution for developers and users alike.