> ## Documentation Index
> Fetch the complete documentation index at: https://codinitdev-mintlify-update-changelog-codinit-dev-90028.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# LM Studio

> Run AI models locally with LM Studio's user-friendly interface for privacy and offline development.

LM Studio provides a user-friendly way to run AI models locally with privacy, speed, and offline capabilities.

**Website:** [https://lmstudio.ai](https://lmstudio.ai)

## Setup

1. **Download:** Visit [lmstudio.ai](https://lmstudio.ai) and download for your OS
2. **Install and launch:** Open LM Studio
3. **Download a model:** Go to "Discover" tab and download a model
   * **Recommended:** Qwen3 Coder 30B A3B Instruct for best CodinIT experience
4. **Start server:** Go to "Developer" tab and toggle server to "Running" (runs at `http://localhost:51732`)
5. **Configure model settings:**
   * **Context Length:** Set to 262,144 (maximum)
   * **KV Cache Quantization:** Leave unchecked (critical for performance)
   * **Flash Attention:** Enable if available

## Configuration in CodinIT

1. Click the settings icon (⚙️) in CodinIT
2. Select "LM Studio" as the API Provider
3. Set server URL to `http://localhost:51732`
4. Choose your model

## Quantization Guide

Choose based on available RAM:

* **32GB RAM:** 4-bit quantization (\~17GB download)
* **64GB RAM:** 8-bit quantization (\~32GB download)
* **128GB+ RAM:** Full precision or larger models

## Model Format

* **Mac (Apple Silicon):** Use MLX format
* **Windows/Linux:** Use GGUF format

## Features

* **Complete privacy:** All data stays on your device
* **No API costs:** Unlimited free usage
* **Offline operation:** Works without internet
* **Hardware flexibility:** Runs on any modern computer

## System Requirements

**Minimum:**

* 8GB RAM (16GB recommended)
* 10GB free storage
* Modern multi-core CPU

**Recommended:**

* 32GB+ RAM for large models
* NVIDIA GPU with 8GB+ VRAM (optional)
* SSD with 50GB+ free space

## Troubleshooting

If CodinIT can't connect:

1. Verify LM Studio server is running
2. Ensure a model is loaded
3. Check system meets hardware requirements
4. Confirm server URL matches in CodinIT settings

## Notes

* Start LM Studio before using with CodinIT
* Keep LM Studio running in background
* First model download may take several minutes
* Models are stored locally after download