default_ensemble_light: A "light" ensemble that runs on a laptop

In screenllm: LLM-Assisted Title/Abstract Screening for Systematic Reviews

A "light" ensemble that runs on a laptop

Description

Returns a four-LLM mean ensemble built from 3-4 B-class open-weights models (⁠gemma3:4b⁠, ⁠llama3.2:3b⁠, ⁠qwen3:4b⁠, ⁠mistral:7b⁠). Fits in roughly 10 GB of disk and 8 GB of RAM at Q4 quantisation, so it runs comfortably on an 8-16 GB laptop.

Usage

default_ensemble_light(
  backend = backend_ollama(),
  replicates = .DEFAULT_REPLICATES,
  temperature = .DEFAULT_TEMPERATURE
)

Arguments

backend	A backend object (default: backend_ollama()).
replicates	Integer >= 1. Defaults to three.
temperature	Sampling temperature. Defaults to 0.7 (per the paper).

Details

Slightly less accurate than default_ensemble() (~5-10 percentage-point drop in AP on the paper benchmarks), but useful for exploration, small reviews, or machines that cannot host the paper's 65 GB ensemble.

Value

A screenllm_ensemble object.

Examples

light <- default_ensemble_light(backend = backend_mock())
print(light)

screenllm documentation built on Sept. 24, 2026, 5:11 p.m.