Irfanuruchi/Llama-3.2-1B-Computer-Engineering-LLM
Specialized 1B Parameter Model for Computer Engineering Fine-tuned with LoRA on 8-bit quantized Llama-3-1B
<div align="center"> <a href="https://github.com/IrfanUruchi/Llama-3.2-1B-ComputerEngineeringLLM"> <img src="https://img.shields.io/badge/๐GitHub-Repo-181717?style=for-the-badge&logo=github" alt="GitHub"> </a> <a href="https://huggingface.co/Irfanuruchi/Llama-3.2-1B-Computer-Engineering-LLM"> <img src="https://img.shields.io/badge/๐คHuggingFace-ModelRepo-FFD21F?style=for-the-badge" alt="HuggingFace"> </a> <br> <img src="https://img.shields.io/badge/ModelSize-1B_parameters-blue" alt="Model Size"> <img src="https://img.shields.io/badge/Quantization-8bit-green" alt="Quantization"> <img src="https://img.shields.io/badge/Adapter-LoRA-orange" alt="Adapter"> <img src="https://img.shields.io/badge/Context-8k-lightgrey" alt="Context"> </div>
๐ ๏ธ Technical Specifications
Architecture
Training Data
- Wikitext-2-raw-v1 (General knowledge)
- Custom computer engineering corpus:
- Hardware design principles
- Processor architectures
- Embedded systems documentation
Installation and usage
Option 1: From Hugging Face Hub (Recommended)
model_id = "Irfanuruchi/Llama-3.2-1B-Computer-Engineering-LLM"Option 2: Local Installation (Git LFS Required)
from transformers import AutoModelForCausalLM, AutoTokenizer
# Replace with your local path
model_path = "./Llama-3.2-1B-ComputerEngineeringLLM"
Recomended Config
outputs = model.generate(
**inputs,
max_new_tokens=200,
temperature=0.7,
top_p=0.9,
do_sample=True,
repetition_penalty=1.1
)Licence complience
This model is governed by the Llama 3.2 Community License. Key requirements:
Non-commercial use only Attribution to Meta required Cannot be used to train other LLMs Attribution Notice: "Llama 3.2 is licensed under the Llama 3.2 Community License, Copyright ยฉ Meta Platforms, Inc."
Limitations
Specialized for computer engineering (general performance may vary) Occasional repetition in outputs Requires prompt engineering for optimal results Knowledge cutoff: January 2025
Citation
If using for academic research, please cite:
@misc{llama3.2-1b-eng-2025,
title = {Llama-3.2-1B-Computer-Engineering-LLM},
author = {Irfanuruchi},
year = {2025},
publisher = {Hugging Face},
url = {https://huggingface.co/Irfanuruchi/Llama-3.2-1B-Computer-Engineering-LLM},
}