Blogs

Taming the Search Space: How Olive Finds the Best Quantization Recipe

A deep dive into Olive’s search strategy — using SelectiveMixedPrecision and GPTQ on a PyTorch model to show how a few parameters can multiply into a huge search space, and how Olive tames it.
Taming the Search Space

Olive MCP Server: Optimizing AI Models Through Natural Conversation

Learn how to use the Olive MCP Server to optimize, quantize, and fine-tune AI models through natural language — directly from VS Code Copilot, Claude, Cursor, and more.
Olive MCP Server

Introducing olive init: An Interactive Wizard for Model Optimization

Get started with Olive in seconds — the new olive init wizard guides you step-by-step from model selection to a ready-to-run optimization command.
Introducing olive init

Exploring Optimal Quantization Settings for Small Language Models

An exploration of how Olive applies different quantization strategies such as GPTQ, mixed precision, and QuaRot to optimize small language models for efficiency and accuracy.
Exploring Optimal Quantization Settings for Small Language Models

Fine-Tuning Diffusion Models with Olive

Learn how to train LoRA adapters for Stable Diffusion and Flux models using Olive CLI or JSON configuration.
Fine-Tuning Diffusion Models with Olive