NC Bench
Overview
About
Tests
Models
Model
Gemma 2 9B
Test
Dialogue tags
Scenario
Write 200 words with 50% dialogue
Run ID
2024-07-19-01J35TB8RYWQ8SHXEX3HAHPBPG
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
"You're kidding, right?" Bill squinted at the flyer in Molly's hand. "A children's birthday party? What are we, sugar thieves now?" Molly grinned, a mischievous glint in her eye. "Don't knock it till you try it, Bill. Think of it: mountains of unopened presents, all neatly wrapped and begging to be liberated." "Liberated? Molly, those are for kids. You want to steal from children?" "Relax, they'll never even notice. Besides, think of the loot! Lego sets, dolls, that new hoverboard everyone's talking about..." Bill shuddered. "I don't know, Molly. This feels a little...unethical." "Ethical? Bill, we're professional thieves. We break into places, steal things. That's our job description. Besides, imagine the look on their faces when their presents vanish. Pure, unadulterated joy!" "Joy? You're twisted, Molly. But you know what? I like it." Bill rubbed his hands together. "Alright, let's do it. Let's give these kids a present they'll never forget."
id
"gen-JYXzbgy6FNx4vRMQaDXCJtm7yEU5"
total_cost
0.0000658
upstream_id
"f0f9954c-a5d9-4b13-b298-47664d1d8963"
created_at
"2024-07-19T15:39:12.205048+00:00"
Friday, July 19th, 2024 at 3:39:12 PM GMT+00:00
model
"google/gemma-2-9b-it"
app_id
182717
streamed
false
cancelled
false
provider_name
"Fireworks"
latency
3418
moderation_latency
(null)
generation_time
0
finish_reason
"stop"
tokens_prompt
80
tokens_completion
240
native_tokens_prompt
75
native_tokens_completion
254
num_media_prompt
(null)
num_media_completion
(null)
origin
"https://ncbench.com/"
usage
0.0000658
Evaluation details
Result
Evaluator
Details
Meta Data
0.0000%
Matches word count
n/a
neededClean
false
words
151
0.0000%
Dialogue to Total Word Ratio
Ratio: 84.77%, Deviation: 34.77%
neededClean
false
wordsTotal
151
wordsDialogue
128
0.0000%