Update README.md

README.md

@@ -1,3 +1,51 @@
 ---
 license: cc-by-nc-4.0
+language:
+- ko
+library_name: transformers
+pipeline_tag: text-generation
 ---
+
+**The license is `cc-by-nc-4.0`.**  
+  
+# **GAI-LLM/KoSOLAR-10.7B-mixed-v13**  
+
+## Model Details
+
+**Model Developers** Donghoon Oh, Hanmin Myung, Eunyoung Kim (SK C&C G.AI Eng)
+
+**Input** Models input text only.
+
+**Output** Models generate text only.
+
+**Model Architecture**  
+GAI-LLM/KoSOLAR-10.7B-mixed-v13 is an auto-regressive language model based on the LLaMA2 transformer architecture.
+
+**Base Model**  [yanolja/KoSOLAR-10.7B-v0.1](https://huggingface.co/yanolja/KoSOLAR-10.7B-v0.1-deprecated)   
+
+**Training Dataset**  
+
+- We combined Open Korean Dateset using mixed-strategy.
+- We use A100 GPU 80GB * 8, when training.
+
+# **Model Benchmark**
+
+## KO-LLM leaderboard
+- Follow up as [Open KO-LLM LeaderBoard](https://huggingface.co/spaces/upstage/open-ko-llm-leaderboard).  
+
+  
+# Implementation Code
+```python
+### GAI-LLM/KoSOLAR-10.7B-mixed-v13
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+repo = "GAI-LLM/KoSOLAR-10.7B-mixed-v13"
+model = AutoModelForCausalLM.from_pretrained(
+        repo,
+        return_dict=True,
+        torch_dtype=torch.float16,
+        device_map='auto'
+)
+tokenizer = AutoTokenizer.from_pretrained(repo)
+```