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Flitto/
expertQA_exaone3.5-7.8b_exp0_medical_fullft

Name: expertQA_exaone3.5-7.8b_exp0_medical_fullft
Availability: InStock

LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct

finetune

cc-by-nc-4.0

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expertQA_exaone3.5-7.8b_exp0_medical_fullft

SFT checkpoint from the EMNLP 2026 Industry Track submission A Factorial Ablation of a Speech-to-SFT Pipeline: Differential Effects on Data Quality and Downstream Transfer.

Field	Value
Pipeline condition	Exp 0 (baseline (no refinement))
Domain	medical
Seed	n/a (single seed 42)
Base model	LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct
Training	Full FT (ZeRO-3)
Upstream STT	In-house STT (paper main pipeline)
License	CC BY-NC 4.0 (research and non-commercial use only)

Intended use: research and non-commercial use only, matching the consent scope of the source audio.

Companion repository (code, configs, prompts, sample QA): https://github.com/flitto/speech-to-sft-ablation-paper

Flitto/expertQA_exaone3.5-7.8b_exp0_medical_fullft

expertQA_exaone3.5-7.8b_exp0_medical_fullft

Flitto/
expertQA_exaone3.5-7.8b_exp0_medical_fullft