Update README.md

README.md

@@ -1,8 +1,47 @@
 ---
 license: apache-2.0
 ---
+# **🐻‍❄️COKAL-v1_70B🐻‍❄️**  
+![img](./COKAL-DPO_bear.png)  
 
-**Developers** SeungyooLee (DopeorNopeLee)
+## Model Details
 
+**Model Developers** Seungyoo Lee (DopeorNope)
 
-It follows Apache license!!
+**Input** Models input text only.
+
+**Output** Models generate text only.
+
+**Model Architecture**  
+COKAL-v1_70B is an auto-regressive 13B 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) - private
+
+  
+**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)
+```
+
+---