Gemma3
A series of lightweight open-source large language models released by Google. The series includes 1B–3B quantized versions optimized for edge deployment scenarios where computational resources are constrained.
Timeline (last 90 days)
In a test covering 8 local models and more than 5000 calls, the wording style of the prompt (plain/normal/florid) had almost no effect on accuracy on non-math tasks, with differences of no more than 4 percentage points for models of 8B and above.
The test covered 8 local models: Qwen3's 0.6B, 1.7B, 4B, 8B, and 14B, as well as Gemma3's 1B, 4B, and 12B, all deployed via Ollama with thinking mode disabled.
On models of 4B and below, the normal-style prompt scored highest, with the plain and florid styles both dropping about 8 points, but all confidence intervals crossed zero, so the differences cannot be strictly proven significant.
All Facts (3)
In a test covering 8 local models and more than 5000 calls, the wording style of the prompt (plain/normal/florid) had almost no effect on accuracy on non-math tasks, with differences of no more than 4 percentage points for models of 8B and above.
50%UnverifiedThe test covered 8 local models: Qwen3's 0.6B, 1.7B, 4B, 8B, and 14B, as well as Gemma3's 1B, 4B, and 12B, all deployed via Ollama with thinking mode disabled.
50%UnverifiedOn models of 4B and below, the normal-style prompt scored highest, with the plain and florid styles both dropping about 8 points, but all confidence intervals crossed zero, so the differences cannot be strictly proven significant.
50%