liquid/lfm-2-24b-a2b
LFM2 24BRelease Date
Feb 25th, 2026Context Size
32kReasoning
NoBenchmark Cost
$0.15Speed
37.7 tok/sCategories
Subcategories
Bad Writing Habits
Detects common prose quality anti-patterns in AI-generated creative writing, including passive voice, past progressive overuse, weak dialogue tags, filter words, purple prose, cliches, AI-ism words/adverbs/names, and more.
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| Detailed Writing Rules | ||||||
| 80 | 76 | 73 | 71 | 69 | 74% | |
| 83 | 81 | 81 | 76 | 72 | 78% | |
| 86 | 79 | 78 | 77 | 76 | 79% | |
| 86 | 81 | 80 | 79 | 78 | 81% | |
| 81 | 80 | 79 | 77 | 73 | 78% | |
| 76 | 75 | 75 | 74 | 70 | 74% | |
| Detailed Writing Rules | 77.29% | |||||
| genre | ||||||
| 76 | 73 | 73 | 71 | 62 | 71% | |
| 86 | 83 | 83 | 76 | 73 | 80% | |
| 79 | 77 | 74 | 72 | 66 | 74% | |
| 83 | 82 | 81 | 74 | 71 | 78% | |
| 82 | 80 | 78 | 75 | 71 | 77% | |
| 84 | 81 | 78 | 77 | 73 | 78% | |
| genre | 76.48% | |||||
| Novelcrafter Default Prompt | ||||||
| 82 | 80 | 77 | 74 | 73 | 77% | |
| 89 | 82 | 81 | 80 | 79 | 82% | |
| 85 | 84 | 83 | 80 | 78 | 82% | |
| 85 | 83 | 82 | 76 | 76 | 80% | |
| 85 | 82 | 82 | 78 | 76 | 81% | |
| 81 | 78 | 77 | 76 | 75 | 77% | |
| Novelcrafter Default Prompt | 80.00% | |||||
| 77.92% | ||||||
Codex Extraction
Evaluates a model's ability to extract structured codex entries (characters, locations, objects, lore) from prose passages and return them as well-formed XML.
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| 87 | 87 | 86 | 86 | 78 | 85% | |
| 36 | 36 | 36 | 36 | 36 | 36% | |
| 36 | 36 | 36 | 36 | 36 | 36% | |
| 38 | 38 | 38 | 38 | 38 | 38% | |
| 48.97% | ||||||
Codex Red Herring (False Positive Detection)
Tests whether models correctly report "no violations" when a codex is fully consistent with the prose passage. Models that hallucinate false violations (false positives) fail. Uses a 2×2 matrix of text length × codex size, with bare and detailed-entry variants.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| basic entries | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| basic entries | 100.00% | ||||||||||
| detailed entries | |||||||||||
| 27 | 25 | 13 | 6 | 2 | 1 | 1 | 0 | 0 | 0 | 7% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 28 | 3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 6 | 5 | 5 | 0 | 62% | |
| detailed entries | 43.15% | ||||||||||
| 71.58% | |||||||||||
Codex Violation Detection
Detects factual inconsistencies between a story bible and prose passages. The model must output structured XML identifying each violation with paragraph number and substring.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| matrix | |||||||||||
| 36 | 35 | 34 | 33 | 33 | 33 | 33 | 3 | 3 | 3 | 25% | |
| 38 | 35 | 34 | 34 | 34 | 33 | 33 | 33 | 3 | 3 | 28% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| matrix | 13.28% | ||||||||||
| tiers | |||||||||||
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 40 | 39 | 39 | 36 | 36 | 34 | 33 | 28 | 25 | 25 | 33% | |
| 35 | 34 | 33 | 33 | 33 | 33 | 33 | 32 | 3 | 3 | 27% | |
| tiers | 15.20% | ||||||||||
| 14.24% | |||||||||||
Data extraction
Extract key details from a given block of text.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 79.17% | |||||||||||
Dialogue tags
Various tasks related to dialogue tags in text.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| dialogue-200 | |||||||||||
| 79 | 64 | 50 | 49 | 38 | 30 | 30 | 7 | 3 | 0 | 35% | |
| 95 | 94 | 59 | 50 | 50 | 47 | 39 | 34 | 27 | 18 | 51% | |
| 62 | 50 | 40 | 38 | 31 | 30 | 27 | 14 | 0 | 0 | 29% | |
| dialogue-200 | 38.50% | ||||||||||
| dialogue-500 | |||||||||||
| 50 | 50 | 45 | 18 | 5 | 2 | 1 | 0 | 0 | 0 | 17% | |
| 50 | 43 | 30 | 18 | 9 | 2 | 1 | 0 | 0 | 0 | 15% | |
| 85 | 68 | 11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 17% | |
| dialogue-500 | 16.35% | ||||||||||
| Ungrouped | |||||||||||
| 100 | 100 | 100 | 61 | 61 | 14 | 14 | 14 | 14 | 14 | 49% | |
| 30.49% | |||||||||||
Language Comprehension
Does the model understand more than just English?
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| 100 | 0 | 0 | 0 | 0 | 20% | |
| 100 | 100 | 0 | 0 | 0 | 40% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 65.00% | ||||||
Language Writing
Can the model generate text in different languages?
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| 100 | 100 | 0 | 0 | 0 | 40% | |
| 100 | 100 | 90 | 57 | 57 | 81% | |
| 70 | 57 | 0 | 0 | 0 | 25% | |
| 100 | 100 | 100 | 73 | 50 | 85% | |
| 100 | 100 | 89 | 89 | 75 | 91% | |
| 64.28% | ||||||
N-Length Sentences
Write sentences with exactly N words
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 93 | 92 | 92 | 92 | 91 | 91 | 89 | 89 | 89 | 85 | 90% | |
| 76 | 75 | 75 | 68 | 67 | 58 | 57 | 57 | 53 | 46 | 63% | |
| 6 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1% | |
| 51.46% | |||||||||||
Novel outline
Handle questions about the outline of a novel in various formats
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| outline-count | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10% | |
| outline-count | 70.00% | ||||||||||
| pov-count | |||||||||||
| 100 | 50 | 50 | 50 | 50 | 50 | 0 | 0 | 0 | 0 | 35% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| pov-count | 11.67% | ||||||||||
| 40.83% | |||||||||||
Text Replacement
Tests deterministic text transformations: renaming characters/locations, expanding contractions, tense rewriting, POV shifts, gender swaps, combined transformations, and word avoidance. Scored by checking each expected change independently.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | Total |
|---|---|---|---|---|---|---|---|---|
| Generic Prompt | ||||||||
| 44 | 44 | 44 | 25 | 25 | 25 | 25 | 33% | |
| 67 | 67 | 67 | 67 | 67 | 67 | 67 | 67% | |
| 98 | 98 | 98 | 98 | 96 | 96 | 92 | 97% | |
| 2 | 2 | 2 | 1 | 1 | 1 | 1 | 1% | |
| 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13% | |
| 72 | 72 | 72 | 72 | 72 | 72 | 72 | 72% | |
| 87 | 86 | 86 | 86 | 86 | 86 | 86 | 86% | |
| 65 | 65 | 27 | 23 | 23 | 23 | 12 | 34% | |
| 96 | 96 | 96 | 96 | 96 | 96 | 96 | 96% | |
| Generic Prompt | 55.43% | |||||||
| Specific Prompt | ||||||||
| 81 | 81 | 81 | 78 | 63 | 58 | 53 | 70% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 81 | 81 | 81 | 70 | 70 | 62 | 16 | 66% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 96 | 96 | 96 | 96 | 96 | 96 | 96 | 96% | |
| 78 | 78 | 78 | 78 | 75 | 75 | 73 | 76% | |
| 89 | 88 | 87 | 87 | 86 | 86 | 86 | 87% | |
| 100 | 99 | 99 | 99 | 99 | 99 | 99 | 99% | |
| 97 | 97 | 97 | 97 | 97 | 97 | 97 | 97% | |
| Specific Prompt | 87.88% | |||||||
| 71.65% | ||||||||
Tool usage within Novelcrafter
Output messages that are related to tool usage within Novelcrafter
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 0.00% | |||||||||||
Voice/dialogue sheets
Extract dialogue from given text as voice sheets.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 0.00% | |||||||||||
Write N of X
Write exactly N words/sentences/paragraphs...
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| paragraphs | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| paragraphs | 100.00% | ||||||||||
| sentences | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 98 | 100% | |
| 100 | 98 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| sentences | 63.93% | ||||||||||
| words | |||||||||||
| 100 | 98 | 98 | 98 | 98 | 98 | 98 | 98 | 98 | 98 | 99% | |
| 54 | 2 | 2 | 2 | 2 | 2 | 2 | 0 | 0 | 0 | 6% | |
| 100 | 98 | 92 | 77 | 77 | 9 | 9 | 9 | 2 | 2 | 48% | |
| 100 | 100 | 92 | 92 | 77 | 54 | 54 | 27 | 0 | 0 | 60% | |
| 98 | 92 | 92 | 92 | 54 | 27 | 27 | 0 | 0 | 0 | 48% | |
| words | 52.09% | ||||||||||
| 67.70% | |||||||||||