A precision-tuned 1 billion-parameter Llama 3.2 model optimized for computer-engineering tasks.
Key Specifications:
Model Size: 1 B parameters
Frameworks: PyTorch & Hugging Face Transformers
Deployment: On-device inference & cloud
Quantization: 8-bit
Why It Matters
Trained on textbooks, datasheets, and Logisim projects
Lightweight & Fast: Ideal for embedding in development tools or running on edge devices
For non-commercial use under Meta’s license (see GitHub)
Quick start example
Get Started
🔗 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