NC Bench
Overview
About
Tests
Models
Model
Gemma 2 9B
Test
Dialogue tags
Scenario
Write 200 words with 10% dialogue
Run ID
2024-07-19-01J35SVYNY8VKG2WEV0AM53MTE
Model input
User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 10% words of dialogue between two thieves named Molly and Bill who are planning to break into a children's party to steal all the presents. Only include the prose of the scene without any markdown or commentary.
Model response
Messages
Meta
AI
Molly squinted at the flyer, a cartoon unicorn winking back at her from the glossy paper. "Operation Sugar Rush," she muttered, tapping a finger against the image. "Kids' party. Two dozen presents. All wrapped in glitter and rainbows. It's practically begging to be robbed." Bill, perched on a stool, strummed idly on a ukulele. "Glitter and rainbows, huh? Sounds a bit messy, don't you think? I'm more of a sleek black velvet kinda thief." Molly scoffed, shoving the flyer towards him. "Don't be such a drama queen. It's a distraction. Think of it as a sugar-fueled smokescreen." She pointed to a diagram of the party layout scrawled on the back. "The presents are stacked in the corner, unguarded during the piñata break. Ten minutes, in and out, we grab the loot and vanish before anyone even notices." Bill chuckled, setting down the ukulele. "Alright, alright. You've convinced me. But if I get stuck with a unicorn piñata, I'm blaming you." Molly grinned. "Deal."
id
"gen-4O8fkDKL89XahFDvco1omGyrBSSx"
total_cost
0.0000666
upstream_id
"663c131b-12c7-4297-8ab7-9d43f3ca8395"
created_at
"2024-07-19T15:30:51.288086+00:00"
Friday, July 19th, 2024 at 3:30:51 PM GMT+00:00
model
"google/gemma-2-9b-it"
app_id
182717
streamed
false
cancelled
false
provider_name
"Fireworks"
latency
4387
moderation_latency
(null)
generation_time
0
finish_reason
"stop"
tokens_prompt
80
tokens_completion
261
native_tokens_prompt
75
native_tokens_completion
258
num_media_prompt
(null)
num_media_completion
(null)
origin
"https://ncbench.com/"
usage
0.0000666
Evaluation details
Result
Evaluator
Details
Meta Data
0.0000%
Matches word count
n/a
neededClean
false
words
164
0.0000%
Dialogue to Total Word Ratio
Ratio: 62.20%, Deviation: 52.20%
neededClean
false
wordsTotal
164
wordsDialogue
102
0.0000%