NC Bench
Overview
About
Tests
Models
Model
Gemma 2 9B
Test
Dialogue tags
Scenario
Write 200 words with 50% dialogue
Run ID
2024-07-19-01J35TBQF74ZJGSMJ6CBYJGQ10
Model input
User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 50% 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
"Alright, Bill," Molly said, tapping a finger against a crumpled map of Mrs. Perkins' suburban paradise, "we've done corner stores, jewelry shops, even a pet convention. But a children's birthday party? You sure about this, pal?" "Relax, Molly," Bill replied, stuffing a balloon animal into his bulging duffel bag. "Think of it as...liberating presents from their disposable cardboard prisons. We're doing them a favor, really. These things get buried in the bin after a week anyway." "But there are, like, twenty kids there!" Molly protested. "What if we get caught?" Bill winked. "No worries, I've got a plan. Red-light district superstar kid-whisperer here, gonna charm 'em like a sugar-fueled Pied Piper. You sneak around, Messi-like, and grab the loot while I create a distraction. Adorable pic-a-boo, bubbles, maybe even break out the bunny under my shirt. They won't even know what hit 'em." Molly frowned. "You're wearing that...bunny?" Bill beamed. "Shiny, yeah?"
id
"gen-lBoEAB6JWVQfSew579kVf3QI0S8T"
total_cost
0.00002907
upstream_id
"cmpl-a061486a6548433ebc1ba716ce7db9d0"
created_at
"2024-07-19T15:39:30.501285+00:00"
Friday, July 19th, 2024 at 3:39:30 PM GMT+00:00
model
"google/gemma-2-9b-it"
app_id
182717
streamed
false
cancelled
false
provider_name
"DeepInfra"
latency
6477
moderation_latency
(null)
generation_time
0
finish_reason
"stop"
tokens_prompt
80
tokens_completion
241
native_tokens_prompt
75
native_tokens_completion
248
num_media_prompt
(null)
num_media_completion
(null)
origin
"https://ncbench.com/"
usage
0.00002907
Evaluation details
Result
Evaluator
Details
Meta Data
0.0000%
Matches word count
n/a
neededClean
false
words
158
0.0000%
Dialogue to Total Word Ratio
Ratio: 69.62%, Deviation: 19.62%
neededClean
false
wordsTotal
158
wordsDialogue
110
0.0000%