# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("Danielbrdz/Barcenas-7b")
model = AutoModelForCausalLM.from_pretrained("Danielbrdz/Barcenas-7b")Quick Links
Barcenas-7b a model based on orca-mini-v3-7b and LLama2-7b.
Trained with a proprietary dataset to boost the creativity and consistency of its responses.
This model would never have been possible thanks to the following people:
Pankaj Mathur - For his orca-mini-v3-7b model which was the basis of the Barcenas-7b fine-tune.
Maxime Labonne - Thanks to his code and tutorial for fine-tuning in LLama2
TheBloke - For his script for a peft adapter
Georgi Gerganov - For his llama.cp project that contributed in Barcenas-7b functions
TrashPandaSavior - Reddit user who with his information would never have started the project.
Made with ❤️ in Guadalupe, Nuevo Leon, Mexico 🇲🇽
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Danielbrdz/Barcenas-7b")