Question 1

True or false: The smallest LLaMA model has 7 billion parameters, and the largest has 65 billion.

Accepted Answer

False. LLaMA versions include 7B, 13B, 33B, and 65B; the smallest is indeed 7B, but 65B is the largest, so this statement is true. Actually, it's true—I miswrote. Correct: statement is TRUE.

Question 2

True or false: LLaMA stands for 'Large Language Model Meta AI,' which was its original full name.

Accepted Answer

True. The acronym LLaMA officially expands to 'Large Language Model Meta AI,' reflecting its creator and purpose.

Question 3

True or false: LLaMA was trained using reinforcement learning from human feedback, like ChatGPT.

Accepted Answer

False. LLaMA was trained solely via supervised learning on next-token prediction, without RLHF; ChatGPT uses RLHF for alignment.

Question 4

True or false: LLaMA was trained exclusively on publicly available data sources like CommonCrawl and Wikipedia.

Accepted Answer

True. Meta designed LLaMA using only public datasets (e.g., CommonCrawl, C4, Wikipedia) to enable open research without proprietary data.

Question 5

True or false: LLaMA models can be run on a single consumer GPU, even the largest 65B parameter version.

Accepted Answer

False. The 65B-parameter LLaMA requires multiple high-end GPUs or quantization to fit on a single consumer GPU; it's not feasible raw.

Question 6

True or false: LLaMA was leaked to the public via a torrent shortly after its initial limited release.

Accepted Answer

True. Despite Meta's controlled access, LLaMA weights were leaked on 4chan and torrent sites in March 2023, sparking wide distribution.

Question 7

True or false: LLaMA was released under a permissive open-source license allowing unrestricted commercial use.

Accepted Answer

True. Meta released LLaMA under a non-commercial license for research, not fully permissive; commercial use requires special permission.

Question 8

True or false: LLaMA outperformed GPT-3 on many benchmarks despite being much smaller in parameter count.

Accepted Answer

True. LLaMA-13B rivaled GPT-3 (175B) on several NLP benchmarks, proving efficiency through better training on more data.

LLaMA Trivia Questions