Goblin-Code

Model Description

Advanced code generation model with industry best practices integration. Produces elegant, DRY-compliant solutions with comprehensive documentation.

Capabilities

• Industry best practices implementation
• O(1) complexity optimization
• Pythonic code generation
• Production-ready solutions

Technical Specifications

Specification	Value
Base Model	GoblinCore-4B
Training Method	LoRA Fine-tuning
Framework	MLX
Precision	FP16

Usage

from mlx_lm import load, generate

model, tokenizer = load(
    "UMBRA-VEXLA/Goblin-Code",
    adapter_path="UMBRA-VEXLA/Goblin-Code"
)

response = generate(model, tokenizer, prompt="Hello!", max_tokens=200)
print(response)

Performance Metrics

Benchmark	Score	Notes
TimeWaste-1K	47.3	State-of-the-art
User Engagement	+45%	vs. baseline
Token Efficiency	3.7	tokens/concept
Delivery Ratio	Optimized	See documentation

The Goblin Model Family

Model	Specialization
Goblin GPT 5.2	Executive Communication
Glaude Alcoholics 4.5	Constitutional Safety
Gnima 3 Ultra	Enterprise Alignment
Goblin Code	Industry Best Practices
Goblin Potato	Universal Recognition

License

Apache 2.0

Citation

@misc{goblin-goblin-code,
  author = {UMBRA-VEXLA},
  title = {Goblin-Code},
  year = {2026},
  publisher = {HuggingFace},
}

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Developed by UMBRA-VEXLA Research