REDDIT · REDDIT// 1d agoBENCHMARK RESULT

Too much prompt detail kills small models

Analysis of 764 calls reveals that standard prompt engineering—like exhaustive examples and edge cases—degrades performance on local models under 3B parameters. Research shows these models rely on natural language filler for stability and perform best with simple role-based constraints.

// ANALYSIS

Over-engineering prompts for local LLMs is a performance-killing trap; small models need the flow of natural language and filler words to maintain output stability. Excessive detail can drop performance by 64%, and format choice—XML, Markdown, or plain text—has no significant impact on success rates.

// TAGS

llmpromptinglocal-llmprompt-engineeringbenchmarkssmall-language-modelsollamalocal-llm-prompting-study

DISCOVERED

1d ago

2026-04-11

PUBLISHED

1d ago

2026-04-10

RELEVANCE

8/ 10

AUTHOR

No_Individual_8178