Instructions to use Jeesup/llama32-3B-rte-nf4-lora-seed43 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Jeesup/llama32-3B-rte-nf4-lora-seed43 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-3B") model = PeftModel.from_pretrained(base_model, "Jeesup/llama32-3B-rte-nf4-lora-seed43") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2bd4064d332fd37580fe8c95d7687a61416e74906384701b52befa97377cb95e
- Size of remote file:
- 36.7 MB
- SHA256:
- f4c2617062d82935c66bf54a480c31465c81c6f680bdd84052b0915b1725f56c
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