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facebook/dinov3-vit7b16-pretrain-lvd1689m
Image Feature Extraction • 7B • Updated • 12.9k • 198 -
facebook/dinov3-vits16-pretrain-lvd1689m
Image Feature Extraction • 21.6M • Updated • 251k • 58 -
facebook/dinov3-convnext-small-pretrain-lvd1689m
Image Feature Extraction • 49.5M • Updated • 17.9k • 22 -
facebook/dinov3-vitb16-pretrain-lvd1689m
Image Feature Extraction • 85.7M • Updated • 278k • 90
Collections
Discover the best community collections!
Collections including paper arxiv:2508.10104
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microsoft/bitnet-b1.58-2B-4T
Text Generation • 0.8B • Updated • 6.53k • 1.23k -
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models
Paper • 2504.10449 • Published • 15 -
nvidia/Llama-3.1-Nemotron-8B-UltraLong-2M-Instruct
Text Generation • 8B • Updated • 349 • 15 -
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
Paper • 2504.11536 • Published • 63
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Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 277 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 263 -
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Paper • 2507.01006 • Published • 248 -
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 259
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facebook/dinov3-vit7b16-pretrain-lvd1689m
Image Feature Extraction • 7B • Updated • 12.9k • 198 -
facebook/dinov3-vits16-pretrain-lvd1689m
Image Feature Extraction • 21.6M • Updated • 251k • 58 -
facebook/dinov3-convnext-small-pretrain-lvd1689m
Image Feature Extraction • 49.5M • Updated • 17.9k • 22 -
facebook/dinov3-vitb16-pretrain-lvd1689m
Image Feature Extraction • 85.7M • Updated • 278k • 90
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microsoft/bitnet-b1.58-2B-4T
Text Generation • 0.8B • Updated • 6.53k • 1.23k -
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models
Paper • 2504.10449 • Published • 15 -
nvidia/Llama-3.1-Nemotron-8B-UltraLong-2M-Instruct
Text Generation • 8B • Updated • 349 • 15 -
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
Paper • 2504.11536 • Published • 63
-
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 277 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 263 -
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Paper • 2507.01006 • Published • 248 -
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 259