This fine-tuning approach allows the model to adapt to specific tasks or datasets with a minimal number of additional parameters, making it efficient and effective for specialized applications.

how to use - sample code

python

from transformers import AutoConfig, AutoModel, AutoTokenizer

config = AutoConfig.from_pretrained("4yo1/llama")
model = AutoModel.from_pretrained("4yo1/llama")
tokenizer = AutoTokenizer.from_pretrained("4yo1/llama")

datasets:

4yo1/llama3_test1

license: mit

4yo1/llama_1

Model Card for Model ID

Model Details

Model Description

how to use - sample code

4yo1/
llama_1