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deepseek-react-reviewer – AI Model by nabinwell | AlphaNeural AI
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nabinwell
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deepseek-react-reviewer
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transformers
safetensors
llama
text-generation
react
javascript
typescript
python
code-review
deepseek
unsloth
lora
fine-tuned
conversational
code
apache-2.0
text-generation-inference
endpoints_compatible
us
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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
