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Magnitude

Run the best open models for your machine

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US · Site-published organization address 2026-10-26
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# Magnitude

> Run the best open models for your machine

## Overview

Magnitude is the open source inference engine for the hardware you already own. It profiles your machine, recommends the best open models for it, and tunes them for your exact hardware. One click connects your favorite agent (Pi, OpenCode, Hermes, etc.). Works on Apple Silicon, NVIDIA, AMD, or nothing but a CPU.

- **Product**: Local inference engine and desktop app for the hardware you already own
- **License**: Apache 2.0
- **Platforms**: macOS, Windows, and Linux
- **Hardware**: Apple Silicon, NVIDIA GPUs, AMD GPUs, and CPU-only machines, including unified-memory systems like DGX Spark and Strix Halo
- **Install**: Download the desktop app from https://magnitude.dev/download. The `magnitude` CLI ships inside the app; no separate install is needed.

## How It Works

1. Profiles your chip, memory, and bandwidth.
2. Estimates fit and tokens per second for every model in the catalog, then ranks models by speed, accuracy, intelligence, and memory.
3. Downloads and runs the model you choose with the built-in inference engine.
4. Tunes speculative decoding and more for your hardware.
5. Connects to your agent harness in one click.

## Features

- Models ranked by speed, accuracy, intelligence, and memory
- Hardware profiling to assess fit and estimate tokens per second before download
- Built-in inference engine; Ollama and LM Studio are not required
- Automatic speculative decoding and concurrency tuning
- Models loaded on request and unloaded when idle or memory fills
- Private, offline model execution once a model is downloaded
- No token costs, API keys, subscriptions, or rate limits
- Free and open source under Apache 2.0

## Model Catalog

The catalog at https://magnitude.dev/models lists every model Magnitude supports, with download sizes, context length, license, and intelligence score: each model's Artificial Analysis Intelligence Index score as a percentage of the top model on the index. Machine-readable copy: https://magnitude.dev/models.json. Source: https://github.com/magnitudedev/magnitude/blob/973bd9f10db3c8b37cdb530d9afc74f0635efb42/inference/catalog/models.json (updated 2026-10-14).

- [Qwen3.8 Flash Next](https://magnitude.dev/models/qwen3.8-flash-next): Qwen, 180B · 6B active, 256K context, vision, Qwen Community 1.0, from 82.6 GB. Large multimodal MoE preview of Qwen's next-generation architecture with strong agentic reasoning and low active compute.
- [Qwen3.8 27B](https://magnitude.dev/models/qwen3.8-27b): Qwen, 27B dense, 256K context, vision, Apache 2.0, from 20.5 GB. Large dense multimodal model with frontier-class agentic coding capability for its size.
- [Gemma 4 31B](https://magnitude.dev/models/gemma-4-31b-it-qat): Google, 31B dense, 256K context, vision, Apache 2.0, from 18.8 GB. Large dense Gemma model with the strongest measured coding score in its family.
- [MiniCPM-V 4.7 35B-A3B](https://magnitude.dev/models/minicpm-v-4.7-35b-a3b): OpenBMB, 35B ·
…

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