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Run: 2026-02-26-01KJCS8YMEDSDK3KQKRSYCZ3YC
Run Details
Model:
LFM2 24B
Test:
Dialogue tags
Scenario:
Write 500 words with 70% dialogue
Duration:
19.7s
Cost:
$0.000084
Provider:
Together
Evaluation summary
Score
Evaluator
Details Link
0.00%
Matches word count
(details)
0.03%
Dialogue to Total Word Ratio
(details)
0.0152%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 70% 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 living room buzzed with the muffled sounds of children’s laughter as Molly paced by the window, her fingers drumming an impatient rhythm against her thigh. Bill leaned against the couch, flipping through a crumpled blueprint of the suburban house they’d been eyeing for weeks. “Alright, listen up,” Molly said, snapping her fingers. “We hit this party tonight. No arguments.” Bill adjusted his glasses, squinting at the plan. “The kids arrive at eight. The parents leave by nine. We’ve got ninety minutes before the first present gets unwrapped.” Molly rolled her eyes. “Ninety minutes? That’s practically an eternity. What if Mrs. Thompson forgets her purse again?” “Then we’ll grab her wallet first,” Bill muttered, tapping the blueprint. “But focus. The back door’s our exit. It’s unguarded until the kids start opening gifts.” “Unless someone’s watching,” Molly interrupted, pointing at a section marked ‘Security.’ “That camera’s pointed right at the front porch. We need a distraction.” Bill grinned. “I’ve got a bag of glow sticks in my backpack. Toss them near the mailbox—kids love those things.” “Perfect,” Molly said, already moving toward the door. “And what about the presents? Are we just grabbing everything, or do we target specific ones?” “We’re after the big ones,” Bill said, following her. “The ones with the toy cars and stuffed animals. The parents won’t miss them until later.” Molly paused, then turned sharply. “Wait. What if there’s a security system? I heard from a friend that some houses have motion sensors now.” Bill shrugged. “Then we disable it. I’ve got a small EMP device. It’s risky, but it’ll buy us time.” “Risky?” Molly raised an eyebrow. “You mean like when you nearly blew up Mrs. Jenkins’ cat last week?” “Hey, that cat was plotting something!” Bill defended, laughing. “Anyway, we stick to the plan. Glow sticks, EMP, and a quick dash to the garage. Then we’re gone.” Molly nodded, though her lips twitched upward. “Fine. But if we get caught, I’m blaming your ‘strategic genius.’” “Deal,” Bill said, extending a hand. They shook, their grip firm despite the chaos in their heads. “One last thing,” Molly said, glancing at the clock. “What if the birthday boy finds us?” Bill smirked. “Then we tell him we’re the ‘official’ party entertainers. Kids love surprises.” Molly groaned. “You’re impossible.” “And you’re welcome,” he said, winking. “Now let’s go make some memories.” They moved toward the door, the blueprint crinkling under Bill’s grip as Molly hummed a tune that sounded suspiciously like a heist anthem. The night stretched ahead, full of possibilities—and plenty of presents waiting to be claimed.
created_at
"2026-02-26T10:52:50.532Z"
2/26/2026, 10:52:50 AM
model
"liquid/lfm-2-24b-a2b-20260224"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
3304
moderation_latency
(null)
generation_time
19577
tokens_prompt
77
tokens_completion
772
native_tokens_prompt
75
native_tokens_completion
685
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
0.00008445
router
(null)
provider_responses
0
endpoint_id
"b5f259c3-1e77-40d6-8fa4-161cdf0e4a7c"
id
"oYugxVD-2j9zxn-9d3ee52ff4b5124d"
is_byok
false
latency
3304
model_permaslug
"liquid/lfm-2-24b-a2b-20260224"
provider_name
"Together"
status
200
api_type
"completions"
id
"gen-1772103170-Qq4pgKFgGpM4uJaoipVF"
upstream_id
"oYugxVD-2j9zxn-9d3ee52ff4b5124d"
total_cost
0.00008445
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Together"
Evaluation details
Result
Evaluator
Details
Meta Data
0.00%
Matches word count
n/a
neededClean
false
words
433
0.03%
Dialogue to Total Word Ratio
Ratio: 57.27%, Deviation: 12.73%
neededClean
false
wordsTotal
433
wordsDialogue
248
0.0152%