# Low-cost efficient training

JetMoE-8B is an efficient open-source large language model that surpasses LLaMA2-7B performance with a low training cost of $100,000, activating only 2.2 billion parameters during inference

CLIPA-v2 model, focusing on zero-shot image classification tasks, achieving efficient visual representation learning through contrastive image-text training

CLIPA-v2 model, an efficient contrastive image-text model, focused on zero-shot image classification tasks

CLIPA-v2 model, an efficient contrastive vision-language model designed for zero-shot image classification tasks.

CLIPA-v2 model, trained on the laion2B-en dataset, focusing on zero-shot image classification tasks