---
language: 
- en
- code
tags:
- code-generation
- ai-assistant
- programming
license: mit
datasets:
- custom
metrics:
- code-completion-accuracy
model-index:
- name: Jaleah AI Coder
  results:
  - task: 
      type: text-generation
      name: Code Generation
    dataset:
      name: Custom Programming Dataset
      type: custom
    metrics:
      - type: code-completion
        value: experimental
---

# Model Card: Jaleah AI Coder

## Model Details
- **Developed by**: teckmill
- **Model type**: Code Generation AI
- **Primary Language**: Python
- **Version**: 1.0

## Model Purpose
Jaleah AI is an intelligent code generation model designed to assist developers by:
- Generating code snippets
- Providing programming suggestions
- Helping with code completion

## Model Capabilities
- Understands programming context
- Generates syntactically correct code
- Supports multiple programming paradigms

## Limitations
- Experimental technology
- May generate incorrect or incomplete code
- Requires human verification and review

## Ethical Considerations
- Not intended to replace human developers
- Should be used as an assistive tool
- Always review generated code before implementation

## Usage Recommendations
1. Use as a coding assistant
2. Always validate generated code
3. Do not rely solely on AI-generated code for critical systems

## Licensing
MIT License

## Contact
For more information, issues, or collaboration:
- GitHub: [Your GitHub Repository]
- Email: [Your Contact Email]