---
tags:
- mllm
- land-use
- LLM
---
# LandGPT

**This repository contains LandGPT-8B and the corresponding model inference code.**

**If you use this model, please pay attention to our work: LandGPT: A Multimodal Large Language Model for Parcel-Level Land Use Classification with Multi-Source Data (under submission).**

To reproduce the main contributions of the paper, please download this model and configure the model runtime library according to `pip install lmdeploy>=0.5.3`.

In addition, a proper JSONL file is required as an image index to feed into the model. The code for creating this JSONL file has been open-sourced at `https://figshare.com/s/1eb38bac0cc970698379`

Assuming you have set up the runtime environment and created the JSONL file, please run:

```
python true_pre_2level.py
```

This will launch the model inference.

We recommend using a computing card with at least 24GB of VRAM for model inference, as insufficient VRAM may affect the inference quality.

# LandGPT

**此仓库为LandGPT-8B和相应的模型推理代码**

**如使用此模型，请关注我们的工作：LandGPT: A Multimodal Large Language Model for Parcel-Level Land Use Classification with Multi-Source Data（投稿中）**

如复现文章主要工作，请下载此模型，并根据` pip install lmdeploy>=0.5.3`配置模型运行库。

此外，还需要合适的jsonl文件作为图像索引送入模型，制作此jsonl文件的代码已经开源在`https://figshare.com/s/1eb38bac0cc970698379`。

假设你已经配置好了运行环境，并创建好了jsonl文件，请运行：

```
python true_pre_2level.py
```

即可启动模型推理。

我们建议使用至少24GB显存的计算卡来进行模型推理，过低的显存可能会影响推理质量。