0a0b4209b7f193d9c7e7a3567ae8738dd823ecb7
Model: CraftJarvis/JarvisVLA-Qwen2-VL-7B Source: Original Platform
license, language, base_model, new_version, pipeline_tag, library_name, datasets, tags
| license | language | base_model | new_version | pipeline_tag | library_name | datasets | tags | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| mit |
|
|
limuyu011/JarvisVLA-Qwen2-VL-7B | image-text-to-text | transformers |
|
|
Introduction
JarvisVLA-Qwen2-VL-7B is a Visual-Language-Action (VLA) model specifically tailored for the open-world game Minecraft. Based on human language instructions, JarvisVLA-Qwen2-VL-7B masters thousands of in-game skills, empowering endless creativity and interaction in Minecraft’s expansive universe!
- Paper: https://craftjarvis.github.io/JarvisVLA/files/jarvis_vla_draft.pdf
- Github: https://github.com/CraftJarvis/JarvisVLA
- Project: https://craftjarvis.github.io/JarvisVLA/
Citation
@article{li2025jarvisvla,
title = {JARVIS-VLA: Post-Training Large-Scale Vision Language Models to Play Visual Games with Keyboards and Mouse},
author = {Muyao Li and Zihao Wang and Kaichen He and Xiaojian Ma and Yitao Liang},
year = {2025}
}
Description