30 lines
1.2 KiB
Markdown
30 lines
1.2 KiB
Markdown
---
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license: mit
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language:
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- en
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base_model:
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- Qwen/Qwen2-VL-7B
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new_version: limuyu011/JarvisVLA-Qwen2-VL-7B
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pipeline_tag: image-text-to-text
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library_name: transformers
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datasets:
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- CraftJarvis/minecraft-vla-sft
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tags:
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- VLA
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- Minecraft
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---
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## Introduction
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**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!
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- Paper: [https://craftjarvis.github.io/JarvisVLA/files/jarvis_vla_draft.pdf](https://craftjarvis.github.io/JarvisVLA/files/jarvis_vla_draft.pdf)
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- Github: [https://github.com/CraftJarvis/JarvisVLA](https://github.com/CraftJarvis/JarvisVLA)
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- Project: [https://craftjarvis.github.io/JarvisVLA/](https://craftjarvis.github.io/JarvisVLA/)
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## Citation
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```
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@article{li2025jarvisvla,
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title = {JARVIS-VLA: Post-Training Large-Scale Vision Language Models to Play Visual Games with Keyboards and Mouse},
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author = {Muyao Li and Zihao Wang and Kaichen He and Xiaojian Ma and Yitao Liang},
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year = {2025}
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}
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``` |