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AGILLM-3
OpenTransformer/AGILLM-3
AGILLM-3 is a machine learning model from OpenTransformer. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
base17 339.25 million parameters total. preset ETA: Tuesday 2 June 2026 at ~03:23:30 BST.
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Public
Updated Mar 12, 2026
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69.3 GB
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At a glance
- Access
- Public
- Created
- Nov 6, 2025
- Updated
- Mar 12, 2026
- SHA
- 192a5ed8
Model card
From the Hugging Face model README
base17 339.25 million parameters total. preset ETA: Tuesday 2 June 2026 at ~03:23:30 BST.
Breakdown (since the machine insists on being slow today):
- Progress: 181,585,600 / 19,200,000,000 tokens → 0.946% done.
- Remaining tokens: 19,018,414,400.
- Throughput: 1061.84 tok/s.
- Time left: 19,018,414,400 / 1061.84 ≈ 17,910,810 s ≈ 207 days, 7 h, 13 m, 30 s.
- Start time: 19:10, 6 Nov 2025 (UK).
- Add the remaining time, cross the DST switch, land at ~03:23:30 BST on 2 Jun 2026.
If your throughput changes, so does the date. Keep the rate above 1k tok/s and try not to babysit the process every five minutes.
- Created
- Nov 6, 2025
- Updated
- Mar 12, 2026