Truncated output with Llama model

I'm experiencing what appears to be truncation or aborted evaluation when using the Meta-Llama-3-8B-Instruct model from gpt4all:

Here's an example of what I mean:

$ llm 'Write a small JavaScript program that asks trivia questions'

 Here is a simple JavaScript program that asks trivia questions:

// Define the questions and answers
var questions = [
  { question: "What is the capital of France?", answer: "Paris" },
  { question: "Who painted the Mona Lisa?", answer: "Leonardo da Vinci" },
  { question: "What is the largest planet in our solar system?", answer: "Jupiter" }
];

// Define a function to ask a question
function askQuestion(question) {
  console.log(question.question);
  var response = prompt("Enter your answer:");
  if (response.toLowerCase() === question.answer.toLowerCase()) {
    console.log("Correct!");
  } else {
    console.log(`Sorry, that's incorrect. The correct answer is ${question.answer}.`);
  }
}

// Ask each question
questions.forEach(askQuestion);

This program defines an array of questions and answers, then uses a function `askQuestion` to ask each question and check the user's

Reproduce the reported llm command with the Meta-Llama-3-8B-Instruct model from gpt4all and compare the output with the shown truncation. Trace the command's model evaluation path to determine whether the incomplete response comes from the CLI or the model integration; done means the cause is identified and the output behavior is verified.