🐻‍❄️COKAL-v1_70B🐻‍❄️

Model Details

Model Developers Seungyoo Lee (DopeorNope)

Input Models input text only.

Output Models generate text only.

Model Architecture
COKAL-v1_70B is an auto-regressive 70B language model based on the LLaMA2 transformer architecture.

Base Model

Training Dataset

• SFT training dataset: garage-bAInd/Open-Platypus

Training
I developed the model in an environment with A100 x 8

Implementation Code

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

repo = "DopeorNope/COKAL-v1_70B"
model = AutoModelForCausalLM.from_pretrained(
        repo,
        return_dict=True,
        torch_dtype=torch.float16,
        device_map='auto'
)
model_tokenizer = AutoTokenizer.from_pretrained(repo)