许可证：apache-2.0
数据集：

• AlfredPros/smart-contracts-instructions
  标签：
• ibm-granite/granite-8b-code-instruct

import torch  
from transformers import AutoModelForCausalLM, AutoTokenizer  
device = "cuda"  
model_path = "braindao/iq-code-evmind-v1-granite-8b-instruct"  
tokenizer = AutoTokenizer.from_pretrained(model_path)  
model = AutoModelForCausalLM.from_pretrained(model_path, device_map=device)  
model.eval()  

chat = [  
    {  
        "role": "user",  
        "content": "创建一个名为ReviewHub的智能合约，作为中心化评论系统。该合约应允许用户提交和管理针对各类产品或服务的评论，按1到5分进行评分，并提供详细评价内容。功能需包括：为产品或服务分配唯一标识符、存储和检索评论、允许用户编辑或删除自己的评论、计算平均评分，并支持管理员进行内容审核。合约必须包含严格的安全措施，以确保评论真实性并防范垃圾信息或恶意行为。"  
    },  
]  

chat = tokenizer.apply_chat_template(chat, tokenize=False, add_generation_prompt=True)  
input_tokens = tokenizer(chat, return_tensors="pt")  
for i in input_tokens:  
    input_tokens[i] = input_tokens[i].to(device)  
output = model.generate(**input_tokens, max_new_tokens=4096)  
output = tokenizer.batch_decode(output)  
for i in output:  
    print(i)