thedrummer/skyfall-36b-v2
Skyfall 36B V2Release Date
Mar 10th, 2025Context Size
33kReasoning
NoBenchmark Cost
$0.80Speed
47.0 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 | ||||||
| 85 | 83 | 76 | 76 | 76 | 79% | |
| 87 | 86 | 82 | 80 | 77 | 83% | |
| 87 | 87 | 84 | 81 | 77 | 83% | |
| 94 | 85 | 82 | 82 | 80 | 85% | |
| 97 | 91 | 90 | 89 | 89 | 91% | |
| 91 | 89 | 84 | 83 | 82 | 86% | |
| Detailed Writing Rules | 84.51% | |||||
| genre | ||||||
| 87 | 82 | 81 | 81 | 77 | 82% | |
| 91 | 84 | 83 | 81 | 79 | 84% | |
| 89 | 88 | 84 | 84 | 74 | 84% | |
| 92 | 89 | 85 | 85 | 75 | 85% | |
| 91 | 87 | 85 | 81 | 76 | 84% | |
| 88 | 86 | 86 | 83 | 82 | 85% | |
| genre | 83.74% | |||||
| Novelcrafter Default Prompt | ||||||
| 82 | 82 | 80 | 77 | 73 | 79% | |
| 90 | 90 | 88 | 76 | 75 | 84% | |
| 85 | 81 | 80 | 79 | 72 | 79% | |
| 91 | 90 | 88 | 86 | 80 | 87% | |
| 88 | 80 | 80 | 79 | 74 | 80% | |
| 91 | 88 | 86 | 84 | 83 | 87% | |
| Novelcrafter Default Prompt | 82.60% | |||||
| 83.62% | ||||||
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 |
|---|---|---|---|---|---|---|
| 90 | 87 | 85 | 77 | 58 | 79% | |
| 92 | 81 | 81 | 80 | 80 | 83% | |
| 90 | 79 | 55 | 3 | 3 | 46% | |
| 84 | 78 | 78 | 75 | 3 | 63% | |
| 67.93% | ||||||
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 | 38 | 32 | 17 | 13 | 13 | 10 | 10 | 3 | 3 | 24% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 50 | 13 | 13 | 10 | 69% | |
| 100 | 100 | 100 | 50 | 30 | 13 | 8 | 7 | 6 | 6 | 42% | |
| 100 | 100 | 100 | 100 | 50 | 25 | 13 | 13 | 7 | 6 | 51% | |
| basic entries | 46.39% | ||||||||||
| detailed entries | |||||||||||
| 100 | 42 | 35 | 31 | 28 | 17 | 17 | 13 | 5 | 4 | 29% | |
| 100 | 100 | 100 | 100 | 100 | 50 | 31 | 10 | 7 | 5 | 60% | |
| 50 | 38 | 32 | 32 | 28 | 13 | 10 | 8 | 7 | 5 | 22% | |
| 100 | 100 | 100 | 100 | 100 | 38 | 38 | 17 | 17 | 13 | 62% | |
| detailed entries | 43.35% | ||||||||||
| 44.87% | |||||||||||
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 | |||||||||||
| 68 | 52 | 44 | 43 | 42 | 38 | 36 | 3 | 3 | 0 | 33% | |
| 55 | 48 | 44 | 38 | 36 | 3 | 3 | 0 | 0 | 0 | 23% | |
| 72 | 72 | 66 | 66 | 56 | 52 | 48 | 3 | 3 | 0 | 44% | |
| 88 | 88 | 88 | 88 | 88 | 88 | 84 | 84 | 80 | 79 | 86% | |
| matrix | 46.24% | ||||||||||
| tiers | |||||||||||
| 83 | 83 | 83 | 75 | 67 | 67 | 67 | 60 | 54 | 50 | 69% | |
| 86 | 79 | 74 | 72 | 53 | 49 | 49 | 33 | 3 | 0 | 50% | |
| 73 | 66 | 65 | 61 | 59 | 56 | 55 | 55 | 55 | 3 | 55% | |
| 66 | 66 | 66 | 63 | 61 | 57 | 53 | 48 | 45 | 0 | 52% | |
| tiers | 56.51% | ||||||||||
| 51.37% | |||||||||||
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 | 0 | 90% | |
| 100 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 50% | |
| 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 0 | 45% | |
| 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 | 0 | 0 | 0 | 65% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 0 | 0 | 80% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 50 | 95% | |
| 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% | |
| 68.75% | |||||||||||
Dialogue tags
Various tasks related to dialogue tags in text.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| dialogue-200 | |||||||||||
| 50 | 50 | 50 | 38 | 18 | 11 | 10 | 0 | 0 | 0 | 23% | |
| 100 | 91 | 51 | 49 | 32 | 30 | 18 | 1 | 0 | 0 | 37% | |
| 51 | 48 | 43 | 30 | 18 | 7 | 1 | 0 | 0 | 0 | 20% | |
| dialogue-200 | 26.53% | ||||||||||
| dialogue-500 | |||||||||||
| 50 | 25 | 21 | 16 | 2 | 1 | 0 | 0 | 0 | 0 | 12% | |
| 49 | 14 | 11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 8% | |
| 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1% | |
| dialogue-500 | 6.73% | ||||||||||
| Ungrouped | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 61 | 61 | 14 | 1 | 74% | |
| 24.77% | |||||||||||
Language Comprehension
Does the model understand more than just English?
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| 100 | 100 | 0 | 0 | 0 | 40% | |
| 100 | 100 | 100 | 100 | 0 | 80% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 80.00% | ||||||
Language Writing
Can the model generate text in different languages?
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| 90 | 71 | 71 | 60 | 0 | 59% | |
| 100 | 100 | 100 | 70 | 40 | 82% | |
| 83 | 60 | 59 | 58 | 50 | 62% | |
| 100 | 80 | 67 | 0 | 0 | 49% | |
| 100 | 90 | 90 | 80 | 77 | 87% | |
| 67.88% | ||||||
N-Length Sentences
Write sentences with exactly N words
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 81 | 76 | 67 | 34 | 16 | 15 | 11 | 8 | 0 | 0 | 31% | |
| 38 | 33 | 30 | 20 | 18 | 16 | 15 | 2 | 1 | 0 | 17% | |
| 24 | 11 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4% | |
| 17.32% | |||||||||||
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 | 100 | 50 | 50 | 50 | 50 | 50 | 0 | 0 | 0 | 45% | |
| 100 | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20% | |
| 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10% | |
| pov-count | 25.00% | ||||||||||
| 47.50% | |||||||||||
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 | ||||||||
| 100 | 100 | 100 | 100 | 89 | 89 | 58 | 91% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 33 | 90% | |
| 94 | 93 | 90 | 89 | 89 | 83 | 71 | 87% | |
| 100 | 100 | 100 | 99 | 99 | 89 | 86 | 96% | |
| 96 | 96 | 96 | 96 | 96 | 96 | 76 | 93% | |
| 83 | 80 | 80 | 80 | 78 | 74 | 74 | 78% | |
| 70 | 60 | 59 | 50 | 44 | 15 | 10 | 44% | |
| 100 | 97 | 68 | 41 | 40 | 39 | 33 | 60% | |
| 99 | 99 | 99 | 99 | 92 | 85 | 16 | 84% | |
| Generic Prompt | 80.44% | |||||||
| Specific Prompt | ||||||||
| 100 | 100 | 100 | 100 | 100 | 61 | 50 | 87% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 99 | 99 | 96 | 95 | 95 | 95 | 93 | 96% | |
| 100 | 100 | 98 | 93 | 92 | 91 | 90 | 95% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 93 | 99% | |
| 100 | 100 | 100 | 100 | 85 | 85 | 84 | 93% | |
| 88 | 83 | 79 | 79 | 79 | 78 | 74 | 80% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 97 | 100% | |
| 100 | 99 | 95 | 95 | 95 | 95 | 93 | 96% | |
| Specific Prompt | 94.07% | |||||||
| 87.25% | ||||||||
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 100 | 100 | 100 | 100 | 100 | 67 | 67 | 0 | 0 | 0 | 63% | |
| 63.33% | |||||||||||
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% | |
| 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30% | |
| 100 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 50% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 70% | |
| 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30% | |
| 36.00% | |||||||||||
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 | 0 | 0 | 80% | |
| 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30% | |
| paragraphs | 70.00% | ||||||||||
| sentences | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 98 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 98 | 98 | 100% | |
| 100 | 100 | 100 | 92 | 54 | 54 | 27 | 9 | 0 | 0 | 54% | |
| 100 | 9 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| sentences | 52.83% | ||||||||||
| words | |||||||||||
| 98 | 98 | 98 | 92 | 92 | 77 | 0 | 0 | 0 | 0 | 56% | |
| 100 | 92 | 92 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 29% | |
| 54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5% | |
| words | 19.04% | ||||||||||
| 43.79% | |||||||||||