Instructions to use a2ran/kor_chatGLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use a2ran/kor_chatGLM with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("THUDM/chatglm-6b") model = PeftModel.from_pretrained(base_model, "a2ran/kor_chatGLM") - Notebooks
- Google Colab
- Kaggle
metadata
library_name: peft
- WIP
Data used : https://raw.githubusercontent.com/Beomi/KoAlpaca/main/alpaca_data.json
training_args = TrainingArguments( "output", fp16 =True, gradient_accumulation_steps=1, per_device_train_batch_size = 1, learning_rate = 1e-4, max_steps=3000, logging_steps=100, remove_unused_columns=False, seed=0, data_seed=0, group_by_length=False, )