Collections
Discover the best community collections!
Collections including paper arxiv:2504.15431
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trillionlabs/Trillion-7B-preview
Text Generation • 8B • Updated • 255 • 87 -
trillionlabs/Trillion-7B-preview-GGUF
Text Generation • 8B • Updated • 261 • 8 -
trillionlabs/Trillion-7B-preview-AWQ
Text Generation • 2B • Updated • 13 • 4 -
trillionlabs/Trillion-LLaVA-7B
Visual Question Answering • 8B • Updated • 1 • 11
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 28 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 14 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23
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InfinityMATH: A Scalable Instruction Tuning Dataset in Programmatic Mathematical Reasoning
Paper • 2408.07089 • Published • 14 -
HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models
Paper • 2409.16191 • Published • 42 -
Training Language Models to Self-Correct via Reinforcement Learning
Paper • 2409.12917 • Published • 140 -
Self-Boosting Large Language Models with Synthetic Preference Data
Paper • 2410.06961 • Published • 16
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trillionlabs/Trillion-7B-preview
Text Generation • 8B • Updated • 255 • 87 -
trillionlabs/Trillion-7B-preview-GGUF
Text Generation • 8B • Updated • 261 • 8 -
trillionlabs/Trillion-7B-preview-AWQ
Text Generation • 2B • Updated • 13 • 4 -
trillionlabs/Trillion-LLaVA-7B
Visual Question Answering • 8B • Updated • 1 • 11
-
InfinityMATH: A Scalable Instruction Tuning Dataset in Programmatic Mathematical Reasoning
Paper • 2408.07089 • Published • 14 -
HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models
Paper • 2409.16191 • Published • 42 -
Training Language Models to Self-Correct via Reinforcement Learning
Paper • 2409.12917 • Published • 140 -
Self-Boosting Large Language Models with Synthetic Preference Data
Paper • 2410.06961 • Published • 16
-
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 28 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 14 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23