Abstract: Low-Rank Adaptation (LoRA) is a widely utilized technique in topic of Parameter-Efficient Transfer Learning (PETL) which could use a limited number of trainable parameters to adapt the model ...
A comprehensive toolkit for finetuning the Qwen2.5-VL (Visual Language) model using LoRA. This project provides easy-to-use scripts for Supervised Fine-Tuning (SFT), LoRA merging, and inference. A ...
A fair scheduler VTC (paper) has been integrated into S-LoRA. See file slora/server/router/vtc_req_queue.py. The "pretrain-then-finetune" paradigm is commonly adopted ...
Abstract: The Long Range (LoRa) modulation enables low-cost and low-power communications, serving as the foundation for the widely adopted terrestrial low-power wide-area network (LPWAN) technology ...
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