Llama 3.1 8B Travel Planner

Published by @itinerary_ai · Community adapter

Day-by-day travel itinerary generation with transport logistics, opening hours awareness, and budget-tier selection. Trained on Lonely Planet, TripAdvisor editorial, and Wikivoyage content.

Usage

from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("meta-llama/Meta-Llama-3.1-8B-Instruct")
base = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B-Instruct")
model = PeftModel.from_pretrained(base, "modelforgelab/llama31-8b-travel-planner-lora")

inputs = tokenizer("Your prompt here", return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

Compatibility

• transformers>=4.43
• vLLM