nousresearch/hermes-3-llama-3.1-70b
Hermes 3 70BRelease Date
Aug 15th, 2024Context Size
128kReasoning
NoBenchmark Cost
$1.08Speed
28.9 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 | 82 | 79 | 78 | 73 | 79% | |
| 81 | 80 | 80 | 73 | 70 | 77% | |
| 86 | 84 | 80 | 72 | 67 | 78% | |
| 95 | 91 | 82 | 80 | 75 | 85% | |
| 87 | 85 | 84 | 83 | 76 | 83% | |
| 85 | 85 | 84 | 78 | 76 | 82% | |
| Detailed Writing Rules | 80.54% | |||||
| genre | ||||||
| 81 | 73 | 72 | 71 | 68 | 73% | |
| 91 | 85 | 74 | 69 | 69 | 78% | |
| 79 | 79 | 75 | 73 | 71 | 75% | |
| 84 | 82 | 71 | 71 | 69 | 75% | |
| 81 | 80 | 80 | 74 | 65 | 76% | |
| 86 | 85 | 79 | 76 | 72 | 80% | |
| genre | 76.14% | |||||
| Novelcrafter Default Prompt | ||||||
| 75 | 74 | 71 | 70 | 70 | 72% | |
| 89 | 85 | 85 | 71 | 65 | 79% | |
| 89 | 83 | 79 | 73 | 73 | 79% | |
| 81 | 80 | 79 | 75 | 75 | 78% | |
| 82 | 79 | 78 | 75 | 71 | 77% | |
| 84 | 79 | 78 | 76 | 72 | 78% | |
| Novelcrafter Default Prompt | 77.12% | |||||
| 77.93% | ||||||
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 |
|---|---|---|---|---|---|---|
| 92 | 90 | 90 | 90 | 81 | 89% | |
| 90 | 89 | 88 | 87 | 86 | 88% | |
| 89 | 85 | 84 | 84 | 75 | 83% | |
| 97 | 95 | 92 | 89 | 85 | 92% | |
| 87.92% | ||||||
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 | 50 | 13 | 7 | 6 | 6 | 5 | 5 | 4 | 4 | 20% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 42 | 33 | 7 | 6 | 69% | |
| 100 | 100 | 100 | 100 | 100 | 42 | 38 | 35 | 8 | 7 | 63% | |
| 100 | 100 | 100 | 50 | 42 | 38 | 33 | 13 | 7 | 5 | 49% | |
| basic entries | 50.09% | ||||||||||
| detailed entries | |||||||||||
| 100 | 30 | 10 | 8 | 8 | 7 | 6 | 5 | 5 | 4 | 18% | |
| 100 | 100 | 100 | 50 | 50 | 50 | 38 | 33 | 32 | 8 | 56% | |
| 50 | 38 | 33 | 32 | 32 | 13 | 13 | 10 | 8 | 8 | 24% | |
| 100 | 100 | 100 | 50 | 31 | 25 | 17 | 13 | 10 | 6 | 45% | |
| detailed entries | 35.80% | ||||||||||
| 42.95% | |||||||||||
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 | |||||||||||
| 64 | 64 | 61 | 60 | 55 | 53 | 51 | 50 | 38 | 0 | 49% | |
| 75 | 69 | 69 | 67 | 61 | 57 | 54 | 50 | 46 | 0 | 55% | |
| 76 | 73 | 72 | 70 | 67 | 66 | 66 | 62 | 47 | 0 | 60% | |
| 93 | 88 | 87 | 87 | 87 | 84 | 83 | 76 | 70 | 0 | 76% | |
| matrix | 59.90% | ||||||||||
| tiers | |||||||||||
| 76 | 75 | 75 | 66 | 60 | 57 | 57 | 50 | 44 | 0 | 56% | |
| 86 | 81 | 79 | 79 | 79 | 72 | 72 | 72 | 58 | 33 | 71% | |
| 79 | 71 | 69 | 69 | 69 | 60 | 59 | 44 | 33 | 0 | 55% | |
| 80 | 70 | 67 | 62 | 61 | 61 | 60 | 53 | 52 | 51 | 62% | |
| tiers | 61.05% | ||||||||||
| 60.48% | |||||||||||
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% | |
| 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% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 50 | 95% | |
| 87.92% | |||||||||||
Dialogue tags
Various tasks related to dialogue tags in text.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| dialogue-200 | |||||||||||
| 75 | 50 | 48 | 43 | 14 | 3 | 1 | 0 | 0 | 0 | 23% | |
| 100 | 64 | 58 | 54 | 52 | 47 | 42 | 25 | 10 | 2 | 45% | |
| 78 | 67 | 64 | 50 | 50 | 48 | 28 | 27 | 2 | 0 | 41% | |
| dialogue-200 | 36.71% | ||||||||||
| dialogue-500 | |||||||||||
| 43 | 41 | 31 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 12% | |
| 81 | 63 | 35 | 22 | 13 | 0 | 0 | 0 | 0 | 0 | 21% | |
| 45 | 39 | 23 | 8 | 4 | 3 | 2 | 1 | 0 | 0 | 13% | |
| dialogue-500 | 15.21% | ||||||||||
| Ungrouped | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 61 | 61 | 14 | 14 | 1 | 65% | |
| 31.53% | |||||||||||
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 | 100 | 100 | 0 | 80% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 75.00% | ||||||
Language Writing
Can the model generate text in different languages?
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 60 | 0 | 72% | |
| 100 | 100 | 100 | 71 | 60 | 86% | |
| 100 | 100 | 100 | 91 | 58 | 90% | |
| 100 | 100 | 100 | 88 | 80 | 94% | |
| 88.33% | ||||||
N-Length Sentences
Write sentences with exactly N words
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 100 | 100 | 98 | 92 | 90 | 87 | 87 | 69 | 58 | 56 | 84% | |
| 81 | 57 | 42 | 41 | 40 | 36 | 30 | 8 | 7 | 6 | 35% | |
| 27 | 16 | 15 | 8 | 7 | 6 | 0 | 0 | 0 | 0 | 8% | |
| 42.10% | |||||||||||
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 | 100 | 100 | 100 | 50 | 0 | 0 | 0 | 0 | 55% | |
| 100 | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20% | |
| 100 | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20% | |
| pov-count | 31.67% | ||||||||||
| 50.83% | |||||||||||
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 | ||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 99 | 99 | 99 | 99 | 99 | 99 | 98 | 99% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 96 | 96 | 96 | 98% | |
| 100 | 100 | 74 | 74 | 74 | 74 | 74 | 81% | |
| 89 | 82 | 81 | 81 | 79 | 78 | 59 | 78% | |
| 100 | 100 | 100 | 100 | 99 | 99 | 87 | 98% | |
| 97 | 96 | 96 | 96 | 93 | 93 | 92 | 95% | |
| Generic Prompt | 94.30% | |||||||
| Specific Prompt | ||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 36 | 91% | |
| 100 | 100 | 100 | 100 | 100 | 0 | 0 | 71% | |
| 90 | 5 | 0 | 0 | 0 | 0 | 0 | 14% | |
| 100 | 0 | 0 | 0 | 0 | 0 | 0 | 14% | |
| 100 | 100 | 100 | 54 | 0 | 0 | 0 | 51% | |
| 100 | 100 | 100 | 52 | 0 | 0 | 0 | 50% | |
| 92 | 91 | 0 | 0 | 0 | 0 | 0 | 26% | |
| 100 | 100 | 33 | 33 | 33 | 2 | 0 | 43% | |
| 100 | 100 | 100 | 0 | 0 | 0 | 0 | 43% | |
| Specific Prompt | 44.79% | |||||||
| 69.55% | ||||||||
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 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100.00% | |||||||||||
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% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 0 | 60% | |
| 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 | 80% | |
| 68.00% | |||||||||||
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 | 0 | 0 | 0 | 70% | |
| 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30% | |
| paragraphs | 66.67% | ||||||||||
| 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 | 92 | 92 | 77 | 54 | 54 | 27 | 80% | |
| 100 | 9 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| sentences | 58.14% | ||||||||||
| words | |||||||||||
| 100 | 98 | 98 | 92 | 92 | 0 | 0 | 0 | 0 | 0 | 48% | |
| 77 | 54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 100 | 100 | 54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| words | 17.32% | ||||||||||
| 44.41% | |||||||||||