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meta-llama/Llama-3.2-90B-Vision-Instruct
Image-Text-to-Text • 89B • Updated • 22.1k • 354 -
meta-llama/Llama-3.2-11B-Vision-Instruct
Image-Text-to-Text • 11B • Updated • 256k • 1.58k -
meta-llama/Llama-3.2-3B-Instruct
Text Generation • 3B • Updated • 5.53M • • 2.05k -
meta-llama/Llama-3.2-1B-Instruct
Text Generation • 1B • Updated • 4.25M • • 1.33k
Justin
jxtngx
AI & ML interests
None yet
Organizations
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Attention Is All You Need
Paper • 1706.03762 • Published • 116 -
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
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meta-llama/Llama-3.2-90B-Vision-Instruct
Image-Text-to-Text • 89B • Updated • 22.1k • 354 -
meta-llama/Llama-3.2-11B-Vision-Instruct
Image-Text-to-Text • 11B • Updated • 256k • 1.58k -
meta-llama/Llama-3.2-3B-Instruct
Text Generation • 3B • Updated • 5.53M • • 2.05k -
meta-llama/Llama-3.2-1B-Instruct
Text Generation • 1B • Updated • 4.25M • • 1.33k
-
Attention Is All You Need
Paper • 1706.03762 • Published • 116 -
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