Nemotron Hackathon Seoul 2026
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Papers
Generative Visual Code Mobile World Models
Predicting LLM Reasoning Performance with Small Proxy Model
Organization Card
We make Foundation Models.
models 30
trillionlabs/TxGravity-30B-A5B
Text Generation • 30B • Updated • 11
trillionlabs/Gravity-16B-A3B-Base
Text Generation • 16B • Updated • 717 • 5
trillionlabs/Gravity-bio-16B-A3B
Text Generation • 16B • Updated • 49
trillionlabs/gWorld-32B
Image-Text-to-Text • 33B • Updated • 21 • 31
trillionlabs/gWorld-8B
Image-Text-to-Text • 9B • Updated • 189 • 52
trillionlabs/NemoSlides
32B • Updated • 10 • 6
trillionlabs/Gravity-16B-A3B-Preview
Text Generation • 16B • Updated • 618 • 13
trillionlabs/Gravity-16BA3B-Checkpoints
Updated • 2
trillionlabs/Tri-70B-preview-SFT
Text Generation • 70B • Updated • 23 • 43
trillionlabs/Gravity-16BA3B
Updated • 3
datasets 7
trillionlabs/TheBioCollection
Viewer • Updated • 62.2M • 662 • 9
trillionlabs/TheBioCollection-Eval
Viewer • Updated • 3.1k • 202
trillionlabs/NemoSlides-SFT-mix-v1.0
Viewer • Updated • 1.19k • 40 • 5
trillionlabs/NemoSlides-DPO-mix-v1.0
Viewer • Updated • 1.14k • 109 • 6
trillionlabs/MWMBench
Viewer • Updated • 2k • 20
trillionlabs/rBridge
Viewer • Updated • 10.2k • 34
trillionlabs/rbridge-mask
Viewer • Updated • 3.36k • 83 • 3