Unverified50% confidenceFactExact time
Training open models typically involves technical paths such as full-parameter fine-tuning, parameter-efficient fine-tuning (such as LoRA), and continued pre-training.
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11/5/2026
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UnverifiedLafa's training starts from a pretrained autoregressive model and adapts it through flow training, which, via the multi-token prediction effect, preserves or even improves the capabilities of the pretrained AR model.80% similarUnverifiedModel weights are the parameter files obtained after training is complete, and open weights allow researchers to deploy locally, quantize and compress, fine-tune for domains, and conduct reproducible evaluations.78% similarUnverifiedLoRA achieves parameter-efficient fine-tuning by superimposing low-rank decomposition matrices onto pre-trained model weights, delivering the highest consistency, but each new character requires dozens of reference images and hours of training, resulting in high engineering costs.77% similarUnverified领域适应的标准路径是微调，使用 LoRA 或全量微调对预训练权重进行领域适应，以 WER（词错误率）指标评估效果77% similarUnverified专用SWE模型通常采用领域数据筛选、持续预训练和针对性指令微调三重策略77% similar
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