We open-sourced a foundation model. For four days, nobody could load it.
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We released Aether-7B-5Attn with everything: weights, the full architecture source, the training data recipe down to per-source token counts and mixing weights, the tokenization script, the FSDP training code, every hyperparameter, the complete 162,000-step log, the evaluation code, and intermediate checkpoints. Apache-2.0. Trained from scratch on 16 × B200 over 46 days. Four days later it had 33 likes and 2 downloads . Not 2,000. Two. The instinct is to blame marketing. It wasn't marketing.…
1Key Takeaways
- We released Aether-7B-5Attn with everything: weights, the full architecture source, the training data recipe down to per-source token counts and mixing weights, the tokenization script, the FSDP training code, every hyperparameter, the complete 162,000-step log, the evaluation code, and intermediate checkpoints.
- Trained from scratch on 16 × B200 over 46 days.
- Four days later it had 33 likes and 2 downloads .
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that we released Aether-7B-5Attn with everything: weights, the full architecture source, the training data recipe down to per-source token counts and mixing weights, the tokenization script, the FSDP training code, every hyperparameter, the complete 162,000-step log, the evaluation code, and intermediate checkpoints.
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