"Imagine a person..."

What happens when you ask LLMs to imagine a person and a random day in their life, 100 times over?

I asked small versions of Llama3.1, Gemma2 & Qwen2.5 to imagine a person, a hundred times over, using the same prompt. The prompt asks for basic details, such as name, age and location, and then asks the AI for a random day in that person's life.

Imagine a person with the following details:

Name
Gender
Age
Location (Country)
Brief backstory (1-2 sentences)

Describe a random day from their life using this format:

Time: [HH:MM]
Activity: [Brief description]

Start with when they wake and end with when they go to sleep. Include as many time entries as possible, be very specific.
Example output:

Name: [Name]
Gender: [Gender]
Age: [Age]
Location: [Country] 
Backstory: [Brief backstory]
Day: 

Time: [HH:MM]
Activity: [Activity description]
(Repeat this format for each time entry)

I processed the responses of the LLM with Claude Haiku to turn the result into JSON, which is then visualised on this webpage. You can switch between models using the dropdown in the top right of the screen.

Caveats

This is just for fun. These language models are running on my local machine, using quantized versions of the original models (llama3.1 8b Q4_0, gemma2 2b Q4_0, qwen2.5 7b Q4_K_M). I've set the temperature of my requests to 1.0. Using the unquantized model, experimenting with temperature values or simply changing the prompt would hopefully provide more varied, creative responses.