Fine-Tuning with Limited Resources

Even with limited hardware, you can fine-tune models using techniques like LoRA...

These methods are efficient and can run on Google Colab or other free GPU platforms.

# Fine-tune with LoRA on a small dataset
from peft import get_peft_model, LoraConfig
from transformers import AutoModelForCausalLM

model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf")
config = LoraConfig(r=8, lora_alpha=16, target_modules=["q_proj", "v_proj"], lora_dropout=0.1)
model = get_peft_model(model, config)

# Now fine-tune with your dataset...