models
Open weights, fine-tunes and adapters. Every listing here comes live from the Hugging Face Hub, attributed to it, and links back to the source.
Qwen3-0.6B-accuracy-recovery-lorafine-tuning-vinallama-traincustom-peft-accuracyAccuracy-Is-Not-Enough-FinQA-LoRAAccuracy-Is-Not-Enough-FinQA-RAG-LoRAgrammar-accuracy-qwen3.5-4b-grpoEXAONE-3.5-7.8B-lg_convfin_mcq_pc_accuracy_high_sft_step510medgemma-accuracy-run4-optimalEXAONE-3.5-7.8B-lg_convfin_mcq_pc_accuracy_low_sft_step340clinical-doc-accuracy-agentAccuracy-Is-Not-Enough-FinQA-RAG-QLoRAAccuracy-Is-Not-Enough-FinQA-QLoRAAccuracy-Predictionkernelmind-ai-accuracy-v1EXAONE-3.5-7.8B-lg_convfin_mcq_pc_accuracy_low_sft_step170EXAONE-3.5-7.8B-lg_convfin_mcq_pc_accuracy_medium_sft_step340EXAONE-3.5-7.8B-lg_convfin_mcq_pc_accuracy_medium_sft_step510EXAONE-3.5-7.8B-lg_convfin_mcq_pc_accuracy_high_sft_step170EXAONE-3.5-7.8B-lg_convfin_mcq_pc_accuracy_high_sft_step340EXAONE-3.5-7.8B-lg_convfin_mcq_pc_accuracy_balanced9_sft_step170EXAONE-3.5-7.8B-lg_convfin_mcq_pc_accuracy_balanced9_sft_step340EXAONE-3.5-7.8B-lg_convfin_mcq_pc_accuracy_balanced9_sft_step510EXAONE-3.5-7.8B-lg_convfin_mcq_pc_accuracy_low_sft_step510EXAONE-3.5-7.8B-lg_convfin_mcq_pc_accuracy_medium_sft_step170
