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Run: 2026-02-26-01KJCS9K4CETN0X44A8V9ZVTBT
Run Details
Model:
LFM2 24B
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
19.0s
Cost:
$0.000096
Provider:
Together
Evaluation summary
Score
Evaluator
Details Link
9.61%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
4.8045%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 30% 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
The moon hung low over Maplewood Park, casting silver light on the inflatable unicorn bouncing near the party tents. Inside one of those tents, a dozen kids giggled as they chased each other around a rainbow slide. Molly crouched behind a stack of plastic chairs, her eyes narrowing at the glittering mountain of presents spread across a long table. Bill emerged from the shadows, clutching a duffel bag that looked suspiciously like it had been stolen from a department store. “You sure this is the spot?” Molly whispered, adjusting her black gloves. “The guards mentioned a ‘no loitering’ rule after dark.” Bill shrugged, his grin widening. “They’re kids. They’ll be too busy opening gifts to notice us. Besides, I’ve got a distraction.” He pulled out a squeaky rubber chicken from his pocket and gave it a half-hearted squeeze. The sound echoed through the tent like a tiny alarm bell. Molly rolled her eyes but couldn’t suppress a smirk. “That’s not a distraction, that’s a crime. What’s your plan? You think throwing poultry will make them forget about Santa?” “Not just any poultry,” Bill said, producing a small device from his bag—a remote-controlled drone shaped like a dragonfly. “This’ll buzz around, making them think it’s a new toy. While they’re distracted, we slip in, grab the loot, and vanish before anyone blinks.” A toddler nearby pointed at the drone, laughing as it zipped past. Molly sighed. “You’re insane. What if someone sees you?” “Exactly why we need stealth,” Bill countered, tossing her a pair of sunglasses from his bag. “These’ll keep my face hidden. And don’t worry, I’ve scouted the security cameras. They loop footage every five minutes. We’ve got a window.” She slid the glasses onto her face, squinting at him. “You’re going to get us caught with that thing.” “Or we pull it off,” Bill said, patting the drone’s wings. “Remember last week? You thought the laser grid was real until you tripped over a balloon.” Molly snorted. “That balloon was *clearly* a laser. You panicked.” “Hey, I saved the party!” He winked, then gestured toward the presents. “Now, where’s the mastermind here? The kid with the flashlight?” She followed his gaze to a boy fumbling with a flashlight under a table. “That’s Timmy. He’s our target. He’ll be the first to notice if we’re late.” Bill nodded. “We’ll need a distraction for him too. Maybe…” He paused, then grinned. “What if we leave a trail of candy canes leading away from the gift table?” Molly groaned. “You’re ridiculous. But fine. Let’s do it.” She glanced at the clock. “Ten minutes till the next act. We’ve got time.” Bill clapped her shoulder. “Teamwork makes the dream work, right?” She rolled her eyes again but stepped closer to the table. “Just don’t trip over the fairy lights this time.” “No promises,” he said, already crawling toward the drone. The kids cheered as the dragonfly buzzed overhead, its wings humming like a mischievous secret. Somewhere in the chaos, Molly wondered if stealing presents was ever truly as simple as it looked. But then again, neither was anything in their line of work.
created_at
"2026-02-26T10:53:11.523Z"
2/26/2026, 10:53:11 AM
model
"liquid/lfm-2-24b-a2b-20260224"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
359
moderation_latency
(null)
generation_time
18963
tokens_prompt
77
tokens_completion
866
native_tokens_prompt
75
native_tokens_completion
780
native_tokens_completion_images
(null)
native_tokens_reasoning
0
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"stop"
usage
0.00009585
router
(null)
provider_responses
0
endpoint_id
"b5f259c3-1e77-40d6-8fa4-161cdf0e4a7c"
id
"oYuh4is-2j9zxn-9d3ee5b312736e86"
is_byok
false
latency
359
model_permaslug
"liquid/lfm-2-24b-a2b-20260224"
provider_name
"Together"
status
200
api_type
"completions"
id
"gen-1772103191-alpQFYda3t3j2FWAXyXO"
upstream_id
"oYuh4is-2j9zxn-9d3ee5b312736e86"
total_cost
0.00009585
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Together"
Evaluation details
Result
Evaluator
Details
Meta Data
9.61%
Matches word count
n/a
neededClean
false
words
522
0.00%
Dialogue to Total Word Ratio
Ratio: 45.23%, Deviation: 15.23%
neededClean
false
wordsTotal
524
wordsDialogue
237
4.8045%