---
title: prot2chat
canonical_url: "https://www.modelscope.cn/models/wangzc025/prot2chat"
md_url: "https://www.modelscope.cn/models/wangzc025/prot2chat.md"
repository: wangzc025/prot2chat
chinese_name: "蛋白质问答1"
last_updated: 2025-04-04
pipeline_tag: "Protein Function Annotation"
tasks:
  - "Protein Function Annotation"
parameters: 8.0B
tensor_type:
  - F32
  - BF16
library_name:
  - safetensors
downloads: 231
stars: 0
---

# prot2chat

> prot2chat - wangzc025 在 ModelScope 开源的模型。蛋白质问答

- **Repository**: wangzc025/prot2chat
- **Tasks**: Protein Function Annotation
- **Parameters**: 8.0B
- **Downloads**: 231
- **Stars**: 0
- **Last updated**: 2025-04-04

Source: https://www.modelscope.cn/models/wangzc025/prot2chat

---

# Prot2Chat

Welcome to Prot2Chat repository!

Paper: https://arxiv.org/abs/2502.06846

STEP1、
clone Prot2Chat repository

STEP2、

```shell
bash prot2chat/requirement.sh
```
prepare environment for Prot2Chat

STEP3、
```python
python generate.py  --base_model_path=your_path_to_base_model --lora_weight_path=your_path_to_lora_weight.pth --pdb_path=your_path_to_pdbs --checkpoint_path=your_path_to_adapter_checkpoint --conversation_data_path=your_path_to_QAdata_test.json
```
run generation demo