A 8 billion-parameter Llama 3.1 model fine-tuned for networking, protocols and system design
Key Specifications:
Model Size: 8 B parameters
Quantization: 4-bit (INT4)
Frameworks: PyTorch & Hugging Face Transformers
Deployment: Docker, Kubernetes or On-device inference with vLLM
Training data: RFCs, academic papers, lab reports, protocol dissections
Why It Matters
Versatile & Accurate
Strikes the sweet spot between footprint and capability—ideal for prototyping, code reviews, and architecture Q&A.
Easy Integration
Optimized for edge devices and microservices alike—drop it into your CI/CD pipeline, mobile tooling, or web demo.
For non-commercial use under Meta’s license (see GitHub)
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Quick start example
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🔗 GitHub Repository
For more details on how to use it and for downloading it you can find the model on GitHub which you can find below