AwareVLN Checkpoints (GWxuan/AwareVLN)
Model weights for training and evaluation.
Contents
| Subdirectory | Description |
|---|---|
navila-llama3-8b-8f/ |
SFT initialization checkpoint (NaVILA-style VILA: Llama-3 8B + SigLIP + mm_projector, 8 frames) |
awarevln/ |
AwareVLN SFT result (trained on R2R/RxR/R2R-follow/RxR-follow/human mixture) |
Each folder contains: config.json, llm/, mm_projector/, vision_tower/.
Usage
Download with Hugging Face Hub:
from huggingface_hub import snapshot_download
snapshot_download("gwx22/AwareVLN", local_dir="./ck", allow_patterns=["navila-llama3-8b-8f/*"])
snapshot_download("gwx22/AwareVLN", local_dir="./ck", allow_patterns=["awarevln/*"])
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