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What is the GPU card used for deploying the MIXT model in the tutorial?

• a5000

• a6000

• a8000

• a7000

What makes the MIXT model efficient in inference time?

• Using all 47 billion parameters

• Using only about 30 billion parameters during inference

• Requiring 90 GB of VRAM

• Being a multilingual model

Which library is used for fast inference in deploying the MIXT model?

• W CB python bindings

• PyTorch

• TensorFlow

• Keras

How much does it cost per hour to run the cloud instance with an a6000 GPU?

• $0.50

• $0.70

• $0.80

• $1.00

Tags

CCSS.6.EE.B.7

What is the response time of the MIXT model for generating a prompt?

• About 20 tokens per second

• About 36 or 37 tokens per second

• About 60 tokens per second

• About 50 tokens per second