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Jiajun Jiang

Eku127

Models in Library1
Datasets in Library0
Models on Hugging Face24
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Models

SwiftVLN: training and evaluation code for these checkpoints. - SatNav: satellite-image navigation environments, datasets, and evaluation tools. This checkpoint is designed for SwiftVLN on SatNav, the continuous-state vision-and-language navigation benchmark over satellite imagery. It predicts short navigation-action sequences from an instruction, the current RGB window, and sampled visual memory. - swiftvln-satnav: SwiftVLN trained and evaluated on SatNav - 3b: Qwen2.5-VL 3B backbone - 1ep: trained for one epoch - f32s4: uses a 32-frame window and predicts four actions - overlap0: uses non-overlapping training windows - pf-h8: uses per-frame memory with up to eight history frames…

Open weights 3.8B parameters 128,000 tokens transformers