alta-models-sft

v1.1.1 suspicious
5.0
Medium Risk

ALTAModel SFT — instruction-tuned Kinyarwanda language models from YaliLabs.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risk due to potential obfuscation and incomplete metadata, raising concerns about its origin and purpose.

  • Obfuscation risk of 4/10
  • Incomplete metadata with missing repository and author details
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell execution patterns detected, indicating no immediate risk from command execution.
  • Obfuscation: The obfuscation appears to be related to specific code patterns that might hinder readability but does not inherently indicate malicious intent.
  • Credentials: No patterns indicative of credential harvesting were detected.
  • Metadata: The package shows some red flags such as missing repository and author details, but no clear evidence of malicious intent.

📦 Package Quality Overall: Low (4.2/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (10352 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 46 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

  • use ALTAChat.""" self.eval() if max_new_tokens is None: max_new_tok
  • e, dtype=dtype) model.eval() logger.info( f"Loaded ALTA from {repo_
✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: yalilabs.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with alta-models-sft 
Create a Kinyarwanda language assistant application using the 'alta-models-sft' package. This application will serve as a versatile tool for individuals looking to interact with the Kinyarwanda language through natural language processing. Here’s a detailed guide on how to build it:

1. **Application Overview**: Design an application that allows users to input queries in English, which are then translated into Kinyarwanda and processed by the 'alta-models-sft' package. The application should also provide translations back to English for better understanding.
2. **Features**:
   - **Query Translation**: Users can input questions or statements in English, and the app translates them into Kinyarwanda.
   - **Instruction Processing**: Utilize the 'alta-models-sft' package to process these instructions in Kinyarwanda, providing contextually relevant responses.
   - **Response Translation**: Translate the responses back into English for the user.
   - **Interactive Mode**: Implement a feature where users can have a continuous conversation in English, with the application translating and responding accordingly.
3. **Implementation Steps**:
   - **Setup Environment**: Install necessary Python packages including 'alta-models-sft'. Ensure your development environment is set up correctly.
   - **Language Translation Integration**: Integrate a translation service API (like Google Translate API) to handle English to Kinyarwanda and vice versa translations.
   - **User Interface**: Develop a simple GUI or command-line interface where users can enter their queries and see the translated and processed responses.
   - **Integration of 'alta-models-sft'**: Use the package to process the Kinyarwanda instructions and generate appropriate responses. Make sure to handle any errors gracefully and ensure the model is loaded efficiently.
4. **Testing and Deployment**:
   - **Testing**: Test the application thoroughly with various inputs to ensure accurate translations and responses.
   - **Deployment**: Deploy the application either as a web service or a desktop application depending on your target audience.
5. **Enhancements**:
   - Consider adding features like sentiment analysis, voice recognition, or even a dictionary lookup feature for Kinyarwanda words.

By following these steps, you'll create a valuable tool that not only facilitates communication but also deepens understanding of the Kinyarwanda language.

💬 Discussion Feed

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