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| Component | Specification |
|---|---|
| Base Model | Meta-Llama-3-1B |
| Hidden Size | 2048 |
| Layers | 16 |
| Attention Heads | 32 |
| Quantization | 8-bit via BitsAndBytes |
| Fine-Tuning Method | LoRA (Low-Rank Adaptation) |
| Tokenizer Vocabulary | 128,256 tokens |
1
2model_id = "Irfanuruchi/Llama-3.2-1B-Computer-Engineering-LLM"1
2from transformers import AutoModelForCausalLM, AutoTokenizer
3
4# Replace with your local path
5model_path = "./Llama-3.2-1B-ComputerEngineeringLLM"
61outputs = model.generate(
2 **inputs,
3 max_new_tokens=200,
4 temperature=0.7,
5 top_p=0.9,
6 do_sample=True,
7 repetition_penalty=1.1
8)1@misc{llama3.2-1b-eng-2025,
2 title = {Llama-3.2-1B-Computer-Engineering-LLM},
3 author = {Irfanuruchi},
4 year = {2025},
5 publisher = {Hugging Face},
6 url = {https://huggingface.co/Irfanuruchi/Llama-3.2-1B-Computer-Engineering-LLM},
7}