# AI use cases for Magnitude (magnitudedev/magnitude) Repo: [magnitudedev/magnitude](https://github.com/magnitudedev/magnitude) | Use cases: 3 | Page: https://dedupedai.com/use-cases/magnitudedev-magnitude/ Magnitude is an open source inference engine that tunes its kernels on your hardware for each model you download, so open models run as fast as your machine allows. It ships as a desktop app and CLI, includes a speculative decoding drafter per model, quantized KV cache and shared prefix caches, and connects to agents like Pi, OpenCode, Hermes and Codex. The README claims it is over 2x faster than Ollama on average. This file holds every use case of this repo. Each one starts with a "## " heading and ends with its URL. - Run local open models faster on your own hardware: https://dedupedai.com/use-cases/magnitudedev-magnitude/run-open-models-faster-than-ollama-on-your-machine/ - Connect Pi, OpenCode, Hermes or Codex to a local Magnitude model: https://dedupedai.com/use-cases/magnitudedev-magnitude/connect-a-local-coding-agent-to-magnitude/ - Serve models from a home server that starts at boot: https://dedupedai.com/use-cases/magnitudedev-magnitude/serve-models-from-a-home-server-that-starts-at-boot/ ## How to run local open models faster on your own hardware with Magnitude Repo: [magnitudedev/magnitude](https://github.com/magnitudedev/magnitude) | Difficulty: Beginner | Time: 20 minutes | Basis: From the README Install Magnitude so each model's kernels are tuned for your chip when you download it. **Who it is for:** A local AI user on a Mac or NVIDIA PC who finds Ollama or LM Studio slow. **The problem:** Generic one-size-fits-all kernels leave speed on the table on any specific chip. **The outcome:** Models running locally with kernels tuned for your hardware and a built-in speculative decoding drafter. ### Steps 1. Install with `curl -fsSL https://magnitude.dev/install.sh | sh`, or the Windows PowerShell or desktop installer 2. Open the app or CLI and download a model; tuning happens on download 3. Run the same prompt you used in Ollama and compare speed 4. Nothing leaves your machine and there are no token costs ### Prompt to paste into your agent ```text Install magnitudedev/magnitude on this , download , and compare tokens per second against my current setup on the same prompt. ``` ### Caveat This card is written from the magnitudedev/magnitude README, not from a test run by Deduped. Before you start, make sure you have macOS, Windows or Linux. Check the repo for newer instructions before you rely on these steps. Risk, remote script: The quick install pipes a script into sh; the desktop installers are an alternative. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/magnitudedev-magnitude/run-open-models-faster-than-ollama-on-your-machine/ ## How to connect Pi, OpenCode, Hermes or Codex to a local Magnitude model with Magnitude Repo: [magnitudedev/magnitude](https://github.com/magnitudedev/magnitude) | Difficulty: Beginner | Time: 15 minutes | Basis: From the README Use Magnitude's one-click agent connections to run your coding agent on a fast local model. **Who it is for:** A developer who wants a coding agent with no API bill and code that stays on their machine. **The problem:** Pointing agents at local servers usually means hand-editing base URLs and model names. **The outcome:** Your coding agent running against a local, hardware-tuned model. ### Steps 1. Install Magnitude and download a coding model 2. Use the one click connection for Pi, OpenCode, Hermes or Codex 3. Run several agent sessions at once; they share prefix caches 4. Watch memory: quantized KV is freed when agents stop ### Prompt to paste into your agent ```text Connect to magnitudedev/magnitude with the best coding model my machine can run, then run a small task in to check speed and quality. ``` ### Caveat This card is written from the magnitudedev/magnitude README, not from a test run by Deduped. Before you start, make sure you have macOS, Windows or Linux. Check the repo for newer instructions before you rely on these steps. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/magnitudedev-magnitude/connect-a-local-coding-agent-to-magnitude/ ## How to serve models from a home server that starts at boot with Magnitude Repo: [magnitudedev/magnitude](https://github.com/magnitudedev/magnitude) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README Run Magnitude server setup so the engine runs as a self-updating service on Linux or macOS. **Who it is for:** A home lab owner who wants an always-available local model endpoint for the household or team. **The problem:** Desktop apps stop when you log out, and keeping a model server running needs service setup. **The outcome:** Magnitude running as a service that starts at boot, survives logout and updates itself. ### Steps 1. Install Magnitude on the server 2. Run `magnitude server setup` 3. Download the models you want to serve 4. Point clients on your network at the server ### Prompt to paste into your agent ```text Set up magnitudedev/magnitude as a boot service with magnitude server setup on , download , and confirm it keeps running after I log out. ``` ### Caveat This card is written from the magnitudedev/magnitude README, not from a test run by Deduped. Before you start, make sure you have macOS, Windows or Linux. Check the repo for newer instructions before you rely on these steps. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/magnitudedev-magnitude/serve-models-from-a-home-server-that-starts-at-boot/