---
license: apache-2.0
tags:
- code-review
- javascript
- mlx
- gguf
- qwen2.5-coder
base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct
---

# AI Code Review Model - Javascript

This is a fine-tuned code review model specialized for **Javascript** code analysis.

## Model Details

- **Base Model**: Qwen/Qwen2.5-Coder-1.5B-Instruct
- **Training Method**: LoRA fine-tuning with MLX
- **Format**: GGUF (Q4_K_M quantization)
- **Target Language**: Javascript
- **Purpose**: Automated code review for CI/CD pipelines

## Usage

### Docker (Recommended)

```bash
docker pull ghcr.io/iq2i/ai-code-review:javascript-latest
docker run --rm -v $(pwd):/workspace ghcr.io/iq2i/ai-code-review:javascript-latest /workspace/src
```

### llama.cpp

```bash
# Download the model
wget https://huggingface.co/loicsapone/ai-code-review-javascript/resolve/main/model-Q4_K_M.gguf

# Run inference
./llama-cli -m model-Q4_K_M.gguf -p "Review this code: ..."
```

### Python (llama-cpp-python)

```python
from llama_cpp import Llama

llm = Llama(model_path="model-Q4_K_M.gguf")
output = llm("Review this code: ...", max_tokens=512)
print(output)
```

## Output Format

The model outputs JSON structured code reviews:

```json
{
  "summary": "Brief overview of code quality",
  "score": 8,
  "issues": [
    {
      "type": "bug",
      "severity": "medium",
      "line": 42,
      "description": "Potential null pointer",
      "suggestion": "Add null check"
    }
  ],
  "positive_points": [
    "Good error handling",
    "Clear variable names"
  ]
}
```

## Training

This model was trained on curated Javascript code review examples using:
- MLX framework for Apple Silicon acceleration
- LoRA adapters (r=8, alpha=16)
- Custom dataset of real-world code issues

For training details, see the [GitHub repository](https://github.com/iq2i/ai-code-review).

## Limitations

- Optimized for Javascript syntax and best practices
- May not catch all edge cases or security vulnerabilities
- Should be used as a supplementary tool, not a replacement for human review

## License

Apache 2.0

## Citation

```bibtex
@software{ai_code_review_javascript,
  title = {AI Code Review Model for Javascript},
  author = {IQ2i Team},
  year = {2025},
  url = {https://github.com/iq2i/ai-code-review}
}
```