Model

Llama 3.1 Nemotron 70B

Test

Dialogue tags

Scenario

Write unattributed dialogue

Run ID

2024-10-16-01JABHZ7CPBNKX4FHJZVR0Q9ZJ

Model input

User/Human
You are an expert novel writer in the cozy mystery genre. Write a scene of about 200 words, with dialogue between two characters. The dialogue should be unattributed, meaning the speaker is not explicitly mentioned. The scene should be set in a small town bakery. Only return the story, nothing else.

Model response

AI
Warm light spilled from the bakery's display case, illuminating the sweet treats within. The scent of freshly baked croissants wafted through the air, enticing the sleepy town to wake up. "I heard the police found another clue at Willow Creek Manor." "Another clue, another dead end, if you ask me. That detective's been sniffing around for weeks." "Give him a break, the man's got a tough case. Especially with the victim being a... well, you know." "A recluse with more enemies than friends? Yeah, that narrows it down. Still, I think it's fishy the NYPD let him take lead. Small-town murder, small-town cops, if you ask me." "Hey, don't knock it till it works. Besides, Chef Élise seems to think he's on the right track." "Oh? What's the celebrated pastry chef know about police work?" "Just that she overheard him asking some very pointed questions about the catering staff... and the disputed cake order."
id"gen-1729112284-7u9feyGfsmswzwQh7NM5" 
upstream_id"cmpl-RIQ0fpQRYMdD5goWxfszcqjT" 
total_cost0.0001084
cache_discount(null)
created_at"2024-10-16T20:58:11.86604+00:00" Wednesday, October 16th, 2024 at 8:58:11 PM GMT+00:00
model"nvidia/llama-3.1-nemotron-70b-instruct" 
app_id182717
streamedtrue
cancelledfalse
provider_name"DeepInfra" 
latency72
moderation_latency(null)
generation_time6822
finish_reason"stop" 
tokens_prompt103
tokens_completion208
native_tokens_prompt72
native_tokens_completion208
native_tokens_reasoning(null)
num_media_prompt(null)
num_media_completion(null)
origin"https://ncbench.com/" 
usage0.0001084

Evaluation details

Result Evaluator Details Meta Data
100.0000% Count dialogue tags n/a
neededCleanfalse
dialogueTags(empty)