Metric	Llama 3.2 1B	Llama 3.2 3B	Winner
ROUGE-1	0.4060	0.4410	3B ✅
ROUGE-2	0.1845	0.2639	3B ✅
ROUGE-L	0.3039	0.3619	3B ✅
BLEU	0.2134	0.2461	3B ✅
BERTScore Precision	0.8741	0.8817	3B ✅
BERTScore Recall	0.8628	0.8676	3B ✅
BERTScore F1	0.8683	0.8744	3B ✅
Perplexity ↓	3.89	3.25	3B ✅

Efficiency

Metric	Llama 3.2 1B	Llama 3.2 3B
Training time (min)	10.42	22.13
Peak VRAM (GB)	10.83	11.113
LoRA VRAM (GB)	9.738	8.361

System Prompt

You are a helpful blood donation advisor serving Tanzania.
Always respond in the same language the user writes in.

Quick Start (Merged 16-bit)

python

from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("nsomazr/blood-donation-llama32-3b-merged-16bit")