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---
language:
- en
license: apache-2.0
tags:
- Aptos
- Move
- Llama3
- Blockchain
- SmartContract
---
# Uploaded model
- **Name**: L3_8B_Aptos_Smart_Contract_Analyser
- **Organization**: Armur
- **Project**: Aptos Smart Contract Audit
- **License**: apache-2.0
- **language**: en
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_path)
model = AutoModelForCausalLM.from_pretrained(
model_path,
device_map="auto",
torch_dtype='auto'
).eval()
# Prompt content: "hi"
messages = [
{"role": "user", "content": Move_Smart_Contract}
]
input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt')
output_ids = model.generate(input_ids.to('cuda'))
response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True)
# Model response: "-- Vulnerabilites --"
print(response)
```
# L3_8B_Aptos_Smart_Contract_Analyser
L3_8B_Aptos_Smart_Contract_Analyser is a cutting-edge AI model designed for comprehensive analysis and security auditing of smart contracts on the Aptos blockchain. We utilized the `ArmurAI/L3_8B` base model, enhanced it with extensive knowledge of Aptos-specific vulnerabilities and best practices, and fine-tuned it with a vast dataset of both secure and vulnerable smart contracts.
# Key Features of L3_8B_Aptos_Smart_Contract_Analyser:
## Advanced Vulnerability Detection
Identifies critical security flaws in Aptos smart contracts:
- Reentrancy vulnerabilities specific to Aptos' resource-oriented architecture
- Unauthorized access to sensitive functions or resources
- Integer overflow/underflow issues in financial calculations
- Improper error handling that could lead to unexpected contract behavior
- Resource exhaustion attacks unique to Aptos' gas model
## Move-Specific Security Analysis
Leverages deep understanding of the Move language to detect:
- Incorrect usage of Move's ownership and borrowing rules
- Potential violations of linear logic principles in resource management
- Unsafe type casting or conversions that could compromise contract integrity
## Aptos Module Interaction Auditing
Identifies risks in inter-module interactions:
- Unauthorized calls to privileged functions in other modules
- Potential front-running vulnerabilities in multi-step operations
- Inconsistent state management across module boundaries
## Tokenomics and Access Control Verification
Scrutinizes:
- Flaws in token distribution mechanisms that could lead to unfair advantages
- Weaknesses in role-based access control implementations
- Potential centralization risks in governance structures
## Smart Contract Upgrade Vulnerabilities
Detects:
- Insecure upgrade patterns that could lead to loss of funds or contract takeover
- Inconsistencies between different versions of upgraded contracts
- Potential backdoors or hidden admin functions in upgradeable contracts
By incorporating these features, L3_8B_Aptos_Smart_Contract_Analyser not only enhances the security of your Aptos smart contracts but also improves their efficiency and quality. Whether you're a seasoned Aptos developer or new to the ecosystem, our model provides invaluable support throughout your development lifecycle.
For more details and to access the tool, visit the [ArmurAI GitHub repository](https://github.com/Armur-Ai/Aptos-Smart-Contract-Auditor).
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