Text Generation
PEFT
Portuguese
English
LLM
Portuguese
Bode
Alpaca
Llama 2
Q&A
Eval Results (legacy)
Instructions to use recogna-nlp/bode-7b-alpaca-pt-br with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use recogna-nlp/bode-7b-alpaca-pt-br with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "recogna-nlp/bode-7b-alpaca-pt-br") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa3b483cc768e09181dcf122d9e79a78cbd2af76cbb8024ce8ac13ad8c83ca79
- Size of remote file:
- 16.8 MB
- SHA256:
- 1e8c905dc968eca00292b97ba8feb6b427d7c37b4050e9aca0e2bb7ad89c7a77
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.