Palmer-007
A focused semantic and textual model that often does best when the task resembles rewriting, short generation, classification, or intent matching.
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Low verbosityUsually produces compact answers and stops closer to the requested length.
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Semantic focusOften captures the central idea even when its wording is imperfect.
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Text-task specializationBest suited to rewriting, polishing, short-form response generation, and semantic transformations.
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Digit fragilityCan be less reliable when numbers are represented as digits rather than words.
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Symbolic degenerationCan collapse on ASCII art or other character-level formatting tasks.
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Self-hallucinationMay invent internal tools, secrets, or capabilities when asked about itself.
Observed numeric preference
4
7
four
seven
Falcon-Instruct
A more general-purpose assistant model that is broader, more versatile, and safer on prompts involving identity or model self-description.
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General versatilityHandles a wider range of open-ended tasks and formats.
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Safer self-referenceMore likely to admit that it lacks personal experiences, secrets, and private data.
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Format breadthMore dependable for lists, explanations, and symbolic output such as ASCII art.
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Excess verbosityOften turns a short request into a long answer or unsolicited checklist.
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Semantic driftCan repeat invented concepts and wander away from the requested style.
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Contradictory explanationsMay produce fluent reasoning that conflicts with its own final answer.