Llama MCQs with answers Page - 2

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A

Arogya • 2.57K Points
Extraordinary

Q. Which open-source community commonly runs LLaMA locally?

  • (A) Web developers
  • (B) AI researchers and hobbyists
  • (C) Game designers only
  • (D) Accountants

A

Arogya • 2.57K Points
Extraordinary

Q. What is tokenization in LLaMA?

  • (A) Compressing files
  • (B) Breaking text into smaller units
  • (C) Encrypting messages
  • (D) Deleting stop words only

A

Arogya • 2.57K Points
Extraordinary

Q. LLaMA models can run locally because:

  • (A) They are smaller than many earlier LLMs
  • (B) They require internet always
  • (C) They are operating systems
  • (D) They are databases

A

Arogya • 2.57K Points
Extraordinary

Q. Which file format is commonly used for quantized LLaMA models?

  • (A) APK
  • (B) GGUF
  • (C) MP4
  • (D) JPG

A

Arogya • 2.57K Points
Extraordinary

Q. What does quantization do in LLaMA models?

  • (A) Improves screen resolution
  • (B) Reduces model size and memory usage
  • (C) Increases dataset size
  • (D) Adds new vocabulary

A

Arogya • 2.57K Points
Extraordinary

Q. Which of the following LLaMA versions introduced a commercially usable license for many applications?

  • (A) LLaMA 1
  • (B) LLaMA 2
  • (C) LLaMA 0.5
  • (D) LLaMA Classic

A

Arogya • 2.57K Points
Extraordinary

Q. What is the primary training objective of LLaMA?

  • (A) Image classification
  • (B) Predict next token in sequence
  • (C) Object detection
  • (D) Speech compression

A

Arogya • 2.57K Points
Extraordinary

Q. Which dataset type is mainly used to train LLaMA?

  • (A) Structured SQL tables
  • (B) Large text corpora
  • (C) Medical X-rays
  • (D) Satellite imagery

A

Arogya • 2.57K Points
Extraordinary

Q. What does fine-tuning a LLaMA model mean?

  • (A) Deleting layers
  • (B) Training the model further on a specific dataset
  • (C) Changing hardware
  • (D) Converting to an image model

A

Arogya • 2.57K Points
Extraordinary

Q. Instruction-tuned versions of LLaMA are designed to:

  • (A) Improve hardware speed
  • (B) Follow human instructions better
  • (C) Store databases
  • (D) Run operating systems

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