Show HN: Distill and serve models with frontier quality for half the cost

43 pointsposted 12 hours ago
by SilenN

22 Comments

Art9681

12 hours ago

The absolute best way to prove this works is by releasing a model that was fine-tuned with this method and then showing benchmarks depicting the improvement delta between the base model and the fine tuned one.

The work is not done. Then release it to the masses and wait a few days for the actual real world anecdotes.

Until then, this is noise.

Reubend

12 hours ago

Yeah, this is just slop. No benchmarks, no concrete case studies, just some vibecoded "platform" to finetune models on your own traces.

Which is an idea that has some value, but also some weaknesses. And this implementation of it isn't forthcoming with that concept. You have to really dig in to understand what they're even talking about.

SilenN

12 hours ago

Happy to answer any qs.

SilenN

12 hours ago

Valid criticism. Happy to answer any qs. We're still working on solidfying results.

dang

12 hours ago

Ok, I think it is in your interest to wait until you have more to show, and we'll be happy to help you with reposting it once it's ready.

Waitlists are against the Show HN rules (https://news.ycombinator.com/showhn.html), and you're likely to get a lot of community pushback if you post before there's enough substance for users to sink their teeth into.

SilenN

11 hours ago

Thanks for the heads up, removed mention!

irishcoffee

12 hours ago

Benchmarks are the ultimate consolidation of halnons razor.

adrianco

12 hours ago

Local models need to be tuned to work well so this looks useful. Seems to be for general purpose model serving. I’ve been using https://github.com/adrianco/retort to run experiments for coding models across 13 different programming languages to see which frontier and local models work.

SilenN

12 hours ago

That's cool, thanks for sharing!

jack_pp

12 hours ago

Not sure I get it. The model you're improving is local? If so how do you even calculate cost compared to an API

SilenN

12 hours ago

Open source models.

wmo routes requests between frontier models and open source models that continuously train using Tinker. As the smaller models improve, more traffic gets routed to them.

Calculating cost is just tokens in/out.

surround

11 hours ago

The title is misleading. This is model routing, not distillation.

SilenN

11 hours ago

Fixed formatting which will help with readability. We do routing, distillation, and token compaction.

yiyingzhang

12 hours ago

Cool idea! How do you guarantee privacy?

SilenN

12 hours ago

It's open source!

We do have a platform we'll be launching as well to manage training + serving for you which will require more diligent privacy guarantees.

rglover

12 hours ago

Excited to play with this.

SilenN

11 hours ago

Let me know if you have any questions!