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llama-3.2-3b-medical-finetuned – AI Model by nicholas-ugbala-hf | AlphaNeural AI

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nicholas-ugbala-hf/
llama-3.2-3b-medical-finetuned

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Llama 3.2 3B Medical Fine-Tuned

Llama 3.2 3B Instruct fine-tuned on a cleaned subset of ChatDoctor HealthCareMagic 100k for medical question answering.

Training Details

Base model: meta-llama/Llama-3.2-3B-Instruct
Fine-tuning method: LoRA (r=16, alpha=32)
Dataset: nicholas-ugbala-hf/chatdoctor-cleaned-10k (4,937 train samples)
Training: 1 epoch, 309 steps, ~73 minutes on T4 GPU
Final eval loss: 2.495

How to Use

python

from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig
from peft import PeftModel
import torch

base = AutoModelForCausalLM.from_pretrained(
    "meta-llama/Llama-3.2-3B-Instruct",
    quantization_config=BitsAndBytesConfig(load_in_4bit=True),
    device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained(
    "nicholas-ugbala-hf/llama-3.2-3b-medical-finetuned"
)
model = PeftModel.from_pretrained(
    base,
    "nicholas-ugbala-hf/llama-3.2-3b-medical-finetuned"
)

Part of

healthcare-llm-finetune