deepseek-react-reviewer

DeepSeek React Reviewer

A fine-tuned DeepSeek-Coder model focused on reviewing React and JavaScript code, identifying issues, and suggesting best practices.

This model is optimized to act as a code reviewer, not just a code generator.

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Base Model

• DeepSeek-Coder (deepseek-ai/deepseek-coder)
• Architecture: Causal Language Model

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Fine-Tuning

• Method: LoRA (Low-Rank Adaptation)
• Framework: Unsloth + Transformers
• Training: Supervised fine-tuning (SFT)
• Precision: FP16 (LoRA merged)
• Training quantization: 4-bit (QLoRA-style)

The model uploaded here is fully merged, so it can be used directly for inference without PEFT dependencies.

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Training Data

• Format: Chat-style JSONL
• Focus areas:
  • React code review
  • JavaScript / JSX patterns
  • Hooks misuse
  • Common bugs and anti-patterns
  • Performance and best practices

⚠️ The dataset may contain synthetic or curated examples and should not be treated as authoritative.

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Intended Use

Recommended for:

• Reviewing React and JavaScript code
• Explaining bugs and anti-patterns
• Suggesting improvements and best practices
• Educational feedback for frontend developers

Not intended for:

• Security audits
• Production-critical code review
• Executing untrusted code

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Author

Fine-tuned by Nabin Raj Pandey