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Papers
Generative Visual Code Mobile World Models
Predicting LLM Reasoning Performance with Small Proxy Model
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We make Foundation Models.
models 36
trillionlabs/Zoro-1
5B • Updated • 6 • 2
trillionlabs/Zoro
5B • Updated • 176 • 3
trillionlabs/gWorld-32B
Image-Text-to-Text • 33B • Updated • 189 • 31
trillionlabs/gWorld-8B
Image-Text-to-Text • 9B • Updated • 211 • 53
trillionlabs/GravityOCR-KO
1B • Updated • 130 • 3
trillionlabs/GravityOCR
Image-Text-to-Text • 1B • Updated • 280 • 4
trillionlabs/Gravity-30B-A5B-Base
Text Generation • 30B • Updated • 205 • 1
trillionlabs/TxGravity-30B-A5B-Open
Text Generation • 30B • Updated • 450 • 3
trillionlabs/Gravity-30B-A5B-Preview
Text Generation • 30B • Updated • 388 • 3
trillionlabs/Gravity-16B-A3B-Base
Text Generation • 16B • Updated • 306 • 8
datasets 11
trillionlabs/MWMBench
Viewer • Updated • 2k • 153
trillionlabs/SimScholar-SFT
Viewer • Updated • 14.6k • 138 • 1
trillionlabs/SimScholar-RL
Viewer • Updated • 13k • 24
trillionlabs/TheBioCollection
Viewer • Updated • 62.2M • 2.52k • 21
trillionlabs/sim-scholar-eval-artifacts
Updated • 2.33k
trillionlabs/sim-scholar-qa-archive
Updated • 128
trillionlabs/TheBioCollection-Eval
Viewer • Updated • 3.1k • 271 • 2
trillionlabs/NemoSlides-SFT-mix-v1.0
Viewer • Updated • 1.19k • 38 • 5
trillionlabs/NemoSlides-DPO-mix-v1.0
Viewer • Updated • 1.14k • 82 • 6
trillionlabs/rBridge
Viewer • Updated • 10.2k • 177 • 1