Qwen 2.5 72B, basic prompt, temperature 0.8 (default) (Lin et al. 2025)

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Evaluations and results

3 evaluations · 3 results. Different protocols are not a single leaderboard.

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Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: Qwen 2.5 72B, basic prompt, temperature 0.8 (default) (Lin et al. 2025)	Protocol: Lin et al. 2025 CIViC evidence-level assignment Dataset: CIViC clinical evidence summary, 4,426 variant-disease associations (accessed 2024-11-20)	0.248 top-1-accuracy fraction · higher Uncertainty: 95% CI 0.2477 to 0.2492 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source qwen-basic on civic (Lin et al. 2025) egfrnsclc-20261009-protocol-lin2025-civic-level-assignment Aggregation: Not reported Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification · Table 1 (Tab1), row 'CIViC', column 'Qwen 2.5' Mean accuracy; 95% CI in the next column
Configuration: Qwen 2.5 72B, basic prompt, temperature 0.8 (default) (Lin et al. 2025)	Protocol: Lin et al. 2025 FoundationOne variants: clinically relevant vs VUS Dataset: FoundationOne CDx report variants, 612 patients (Lin et al. 2025)	0.573 top-1-accuracy fraction · higher Uncertainty: 95% CI 0.5725 to 0.5736 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source qwen-basic on foundationone (Lin et al. 2025) egfrnsclc-20261009-protocol-lin2025-foundationone-relevant-vs-vus Aggregation: Not reported Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification · Table 1 (Tab1), row 'Foundationone', column 'Qwen 2.5' Mean accuracy; 95% CI in the next column
Configuration: Qwen 2.5 72B, basic prompt, temperature 0.8 (default) (Lin et al. 2025)	Protocol: Lin et al. 2025 OncoKB level-of-evidence assignment Dataset: OncoKB actionable-genes table, 625 variant-cancer-drug associations (accessed 2024-11-20)	0.333 top-1-accuracy fraction · higher Uncertainty: 95% CI 0.3316 to 0.334 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source qwen-basic on oncokb (Lin et al. 2025) egfrnsclc-20261009-protocol-lin2025-oncokb-level-assignment Aggregation: Not reported Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification · Table 1 (Tab1), row 'OncoKB', column 'Qwen 2.5' Mean accuracy; 95% CI in the next column

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Sources and history

Release 2026-10-10-7b8f80935f90 · Record review: source checked

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Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification · Original source · npj Precision Oncology 9:141, published 2025-05-15; PMC12078457 full-text XML

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Technical metadata and extraction receipts

Stable ID: egfrnsclc-20261009-config-lin2025-qwen-basic

areas: dna-genomes
contexts: clinical_research
method types: foundation_model
reported name: Qwen2.5
foundation model eligible: true
source locator: Lin et al. 2025 Methods P39-P43; Table 2 'Model conditions'
parameters: basic prompt; temperature 0.8 (default)
missing metadata: version: reason: unreported; note: Model size is printed (70B or 72B); no checkpoint tag or quantisation is printed

Related records

configuration of: Qwen 2.5 72B
system: qwen-basic on civic (Lin et al. 2025)
system: qwen-basic on foundationone (Lin et al. 2025)
system: qwen-basic on oncokb (Lin et al. 2025)