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meta-llama/Llama-3.2-90B-Vision-Instruct
Image-Text-to-Text • 89B • Updated • 23.7k • 352 -
meta-llama/Llama-3.2-11B-Vision-Instruct
Image-Text-to-Text • Updated • 278k • 1.57k -
meta-llama/Llama-3.2-3B-Instruct
Text Generation • Updated • 3.84M • • 2.03k -
meta-llama/Llama-3.2-1B-Instruct
Text Generation • Updated • 3.83M • • 1.31k
Justin
jxtngx
AI & ML interests
None yet
Organizations
Papers
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Attention Is All You Need
Paper • 1706.03762 • Published • 115 -
LLaMA: Open and Efficient Foundation Language Models
Paper • 2302.13971 • Published • 21 -
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
Models
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meta-llama/Llama-3.2-90B-Vision-Instruct
Image-Text-to-Text • 89B • Updated • 23.7k • 352 -
meta-llama/Llama-3.2-11B-Vision-Instruct
Image-Text-to-Text • Updated • 278k • 1.57k -
meta-llama/Llama-3.2-3B-Instruct
Text Generation • Updated • 3.84M • • 2.03k -
meta-llama/Llama-3.2-1B-Instruct
Text Generation • Updated • 3.83M • • 1.31k
Datasets
Papers
-
Attention Is All You Need
Paper • 1706.03762 • Published • 115 -
LLaMA: Open and Efficient Foundation Language Models
Paper • 2302.13971 • Published • 21 -
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