this post was submitted on 04 Sep 2026
61 points (96.9% liked)

LocalLLaMA

5120 readers
48 users here now

Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.

Get support from the community! Ask questions, share prompts, discuss benchmarks, get hyped at the latest and greatest model releases! Enjoy talking about our awesome hobby.

As ambassadors of the self-hosting machine learning community, we strive to support each other and share our enthusiasm in a positive constructive way.

Rules:

Rule 1 - No harassment or personal character attacks of community members. I.E no namecalling, no generalizing entire groups of people that make up our community, no baseless personal insults.

Rule 2 - No comparing artificial intelligence/machine learning models to cryptocurrency. I.E no comparing the usefulness of models to that of NFTs, no comparing the resource usage required to train a model is anything close to maintaining a blockchain/ mining for crypto, no implying its just a fad/bubble that will leave people with nothing of value when it burst.

Rule 3 - No comparing artificial intelligence/machine learning to simple text prediction algorithms. I.E statements such as "llms are basically just simple text predictions like what your phone keyboard autocorrect uses, and they're still using the same algorithms since <over 10 years ago>.

Rule 4 - No implying that models are devoid of purpose or potential for enriching peoples lives.

founded 3 years ago
MODERATORS
 

Today IFM is releasing K2 Horizon, a connected fleet of six models: 375B-A23B, 36B-A4B, 32B, 7B, 3.7B, and 0.9B. Across reasoning, mathematics, coding, agentic tasks, and general capabilities, K2 Horizon delivers top-tier performance in every size class—with the 0.9B, 3.7B, and 7B models setting new state of the art at their respective scales.

We are releasing intermediate checkpoints, training data or detailed data-construction recipes, open architecture, mixture compositions, training code, configurations, fine-grained logs, evaluation results, and final weights.

The models and code are released under the Apache 2.0 license. Datasets are released under their applicable licenses, such as ODC-BY; We disclose how the data was constructed and mixed when redistribution is not possible.

you are viewing a single comment's thread
view the rest of the comments
[–] inari@piefed.zip 10 points 1 day ago (3 children)

Is this the first actually open source model?

[–] afaix@lemmy.world 1 points 5 hours ago

There is Olmo, that is fully open source

But the quality is not as good

[–] robber@lemmy.ml 1 points 6 hours ago

There is the Swiss project Apertus AI, and I think I've read about others but don't remember the names.

That being said, if the benchmarks translate to real utility, it is the first competitive open source model, I'd say.

[–] hirihit640@sh.itjust.works 6 points 1 day ago (1 children)

We disclose how the data was constructed and mixed when redistribution is not possible.

So sounds like some data is unreleased, I wonder how much.

[–] inari@piefed.zip 6 points 1 day ago

My guess is they don't really have the rights to release data copyrighted by others.