Shoehorn is a developer tool that quantizes language models to perfectly fit within a machine's available memory, achieving up to 99.99% memory usage efficiency for local inference.
Working on Mac, Linux, and Windows now. I include a simple GUI to find new models and get things built and set up. It is working quite well across a few models for me. The GitHub README and DESIGN.md files go into detail of the how/why and it's working remarkably well so far. <a href="https://github.com/notactuallytreyanastasio/shoehorn" rel="nofollow">https://github.com/notactuallytreyanastasio/shoehorn</a>
# shoehorn — make any language model fit your machine
Source: [https://notactuallytreyanastasio.github.io/shoehorn/](https://notactuallytreyanastasio.github.io/shoehorn/)
Make any language model fit the memory you actually have\.
Preset quantizations ignore your hardware: pick one that fits and you either waste hundreds of megabytes of quality headroom or find out at load time it didn't fit after all\. shoehorn starts from the memory you actually have, subtracts what inference itself needs, and solves a per\-tensor mixed\-precision assignment that lands within a rounding error of the remainder — routinely using**99\.99%**of the budget, sometimes to the byte\.
$ shoehorn fit unsloth/Qwen3\-4B\-GGUF \-\-serve**weights: 519\.2 MiB of 519\.2 MiB budget \(99\.998% used, 13 KB slack\)**
Before you download
## What fits your machine?
Pick your hardware and this page scans Hugging Face's most\-downloaded models for ones shoehorn can fit to your budget — ranked by the quality your memory affords\. Runs entirely in your browser\.
Your machine
Conversation room
Get shoehorn
## Install
shoehorn needs[llama\.cpp](https://github.com/ggml-org/llama.cpp)on your PATH as the inference backend \(the Homebrew install pulls it in for you\)\. Then`shoehorn ui`opens the local app — pick a model, press one button, chat\.
`brew install notactuallytreyanastasio/shoehorn/shoehorn`
Or from source:`cargo install \-\-path \.`after cloning[the repo](https://github.com/notactuallytreyanastasio/shoehorn)\. All[releases](https://github.com/notactuallytreyanastasio/shoehorn/releases)\.
The app
## One button, your whole budget
The local web app measures your machine, streams the fit, renders the budget as a tape measure, puts a perplexity number on what the fit cost, and ends at a Chat button\.
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