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license: apache-2.0
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# **🐻❄️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](https://huggingface.co/datasets/garage-bAInd/Open-Platypus)
**Training**
I developed the model in an environment with A100 x 8
# Implementation Code
```python
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)
```
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