VIDRAFT Releases Fully Open Foundation Model Aether-7B-5Attn: Weights, Code, Data, and Training Logs — All Public

VIDRAFT Releases Fully Open Foundation Model Aether-7B-5Attn: Weights, Code, Data, and Training Logs — All Public

TL;DR: Korean AI startup VIDRAFT has released Aether-7B-5Attn, a ~6.59B-parameter Mixture-of-Experts foundation model on Hugging Face under the Apache-2.0 license. Unlike most "open-source" LLMs that only ship weights, this release includes training data recipes, full training code, configuration files, training logs, intermediate checkpoints, and evaluation code — making the entire pipeline reproducible. If you care about verifiable, sovereign AI or want a genuinely open Korean/English/math-capable base model, this is worth a look.

What it is

Aether-7B-5Attn is a foundation language model independently developed by VIDRAFT (비드래프트), a Korean Pre-AGI AI startup. Key facts from the announcement:

Parameter count: ~6.59 billion total