metadata

language:
  - zh
  - en

ChatTruth-7B

ChatTruth-7B 在Qwen-VL的基础上，使用精心设计的数据进行了优化训练。与Qwen-VL相比，模型的中文对话能力得到了大幅提升。创新性提出Restore Module使大分辨率计算量大幅减少。

安装要求 (Requirements)

transformers 4.32.0
python 3.8 and above
pytorch 1.13 and above
CUDA 11.4 and above

快速开始 (Quickstart)

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
torch.manual_seed(1234)
model_path = 'ChatTruth-7B' # your downloaded model path.

tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)

# use cuda device
model = AutoModelForCausalLM.from_pretrained(model_path, device_map="cuda", trust_remote_code=True).eval()

query = tokenizer.from_list_format([
    {'image': 'demo.jpeg'},
    {'text': '图片中的文字是什么'},
])
response, history = model.chat(tokenizer, query=query, history=None)
print(response)

# 昆明太厉害了