Llama-3.2-8B-Computer-Networks-LLM

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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