90 points by rhgraysonii 4 days ago|18 comments
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. https://github.com/notactuallytreyanastasio/shoehorn
akshay_akula 3 days ago
This is interesting. I wonder how it could work with something like https://github.com/JustVugg/colibri.
jedbrooke 18 hours ago
I gotta laugh at some of the models it suggests, for example:

> AnkitAI/Parable-Qwen3-4B-Claude-Fable-5-GGUF

you’re telling me you managed to fit Fable 5 into just 4B?

chompychop 17 hours ago
I gotta laugh at your thought process: knowing Fable 5 is a large frontier model, you're telling me that the first thing that came to your mind on seeing that model name is that it's a quantized version of Fable? As opposed to a distillation/fine-tuning on Fable responses?
metalliqaz 16 hours ago
Well to be fair here... the title of this post doesn't mention fine tuning, it mentions quantization.
unrented7977 17 hours ago
Don't make fun of people you think are ignorant, it's a pretty shitty look
chompychop 17 hours ago
Well, then don't get all snarky and dismissive of things you might not be knowledgeable about ("you" here referring to OP).
mannyv 8 hours ago
Fyi that model name to me reads

Qwen3 4b params distilled/trained with fable 5

hmokiguess 4 days ago
rhgraysonii 4 days ago
LLMFit tells you what can run on something. I built something quite similar to their search into Shoehorn now.
puttycat 16 hours ago
This is really impressive. Can you say a bit about the underlying process? I'm guessing this is post-training qantization? Isn't PTQ also resource-intensive? (Ie might not work on any machine)
sscarduzio 16 hours ago
The project name is perfect!
mbuchel-hn 4 days ago
does this work similar to airllm? i am wondering how it would handle something like quantizing kimi k3 on a budget of 8 gbs, or is that something you are not attempting to solve yet?
rhgraysonii 4 days ago
Yes that is exactly what this does.
kennywinker 4 days ago
Could you explain what happens when you try to shoehorn a 2.4T parameter model into a 24gb m4 mac?
akshay_akula 3 days ago
Wondering the same thing but for 48gb M5 Max.
metalliqaz 16 hours ago
extreme divergence would be my guess
jaylane 4 days ago
tried it out but based on the model sizing result i got i got an insufficient memory error when the server started running
rhgraysonii 4 days ago
If you could post an issue if you still have the error around that would be awesome.