-
meta-llama/Llama-3.2-90B-Vision-Instruct
Image-Text-to-Text • 89B • Updated • 49.4k • 359 -
meta-llama/Llama-3.2-11B-Vision-Instruct
Image-Text-to-Text • 11B • Updated • 112k • 1.63k -
meta-llama/Llama-3.2-3B-Instruct
Text Generation • 3B • Updated • 1.83M • • 2.37k -
meta-llama/Llama-3.2-1B-Instruct
Text Generation • 1B • Updated • 10.3M • • 1.55k
Justin PRO
jxtngx
AI & ML interests
None yet
Organizations
-
Attention Is All You Need
Paper • 1706.03762 • Published • 133 -
LLaMA: Open and Efficient Foundation Language Models
Paper • 2302.13971 • Published • 25 -
Efficient Tool Use with Chain-of-Abstraction Reasoning
Paper • 2401.17464 • Published • 21 -
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts
Paper • 2407.21770 • Published • 22
-
meta-llama/Llama-3.2-90B-Vision-Instruct
Image-Text-to-Text • 89B • Updated • 49.4k • 359 -
meta-llama/Llama-3.2-11B-Vision-Instruct
Image-Text-to-Text • 11B • Updated • 112k • 1.63k -
meta-llama/Llama-3.2-3B-Instruct
Text Generation • 3B • Updated • 1.83M • • 2.37k -
meta-llama/Llama-3.2-1B-Instruct
Text Generation • 1B • Updated • 10.3M • • 1.55k
-
Attention Is All You Need
Paper • 1706.03762 • Published • 133 -
LLaMA: Open and Efficient Foundation Language Models
Paper • 2302.13971 • Published • 25 -
Efficient Tool Use with Chain-of-Abstraction Reasoning
Paper • 2401.17464 • Published • 21 -
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts
Paper • 2407.21770 • Published • 22