TeamCraft-VLA-7B-Cen Model Card

TeamCraft-VLA-7B-Cen is a multi-modal vision-language action model designed for centralized multi-agent collaborations. The model encodes multi-modal prompts specifying the task, visual observations, and agent inventory information at each timestep to generate actionable outputs.

Usage

We provide a full environment with detailed running instruction on GitHub.

Model details

The TeamCraft-VLA (Vision-Language-Action) architecture integrates a CLIP ViT-L/14 visual encoder with a linear projector for modality alignment and Vicuna-v1.5-7B (Llama 2.0) as the LLM backbone, combining visual and text embeddings to generate actions for multi-agent tasks.

Model Type:

• Vision-Language Action Model

Model version:

• v1.0

Model date:

• TeamCraft-VLA-7B-Cen is trained on September 2024

Training dataset:

• Teamcraft centralized full dataset

Uses

Direct use

• Primary intended uses: The primary use of the TeamCraft-VLA-7B-Cen is research on multi-agents under multi-modal settings.

• Primary intended users: The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, multi-agent system, and artificial intelligence.

Out-of-Scope Use:

• The model is not designed for real-world decision-making or deployment in safety-critical systems.

• The model not be used for tasks requiring ethical reasoning, moral judgments, or any applications where improper actions could lead to harm or violation of regulations.

License

Llama 2 is licensed under the LLAMA 2 Community License, Copyright (c) Meta Platforms, Inc. All Rights Reserved.