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Deep Learning Practice · Quiz 1 · 15 Mar 2026 · January 2026 term

Question 7: A model with 4B parameters (fp32) is being trained using …

Question 7

+2 marksOne correct option

A model with 4B parameters (fp32) is being trained using the AdamW optimizer on a single 32GB GPU. Why is full fine-tuning impossible in this configuration?

  1. A

    The 4B parameters alone require 32GB of VRAM, leaving no room for the OS or CUDA kernels.

  2. B

    The optimizer states (32GB) plus the model weights (16GB) and gradients (16GB) exceed the 32GB VRAM limit.

  3. C

    The tokenizer is unable to map a context length of 2048 to a 32-bit integer space.

  4. D

    The fp32 precision requires 8 bytes per parameter, meaning the 4B model needs 64GB just to load.

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Correct answer

  • B

    The optimizer states (32GB) plus the model weights (16GB) and gradients (16GB) exceed the 32GB VRAM limit.

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Question 7 of 19 in the IIT Madras BS Deep Learning Practice (Deep Learning Practice) Quiz 1 paper sat on 15 Mar 2026, in the January 2026 term (Deep Learning Practice 15 Mar 26). It carries 2 marks.

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