nabinwell/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.

Base Model

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

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.

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.

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

Author

Fine-tuned by Nabin Raj Pandey