Robotics
PEFT
Safetensors
English
Chinese
vla
vision-language-action
spatial-reasoning
embodied-ai
robot-navigation
world-action-model
Instructions to use FINWHALE/Wukong with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FINWHALE/Wukong with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen2.5-vl-7b-instruct-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "FINWHALE/Wukong") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add per-item evaluation records (held-out n=500)
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Update model card: T2 release contents + eval results
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Add Wukong-T2 spatial-reasoning QLoRA adapter (step 49730)
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Update README.md
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Add Wukong model card
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initial commit
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