Update README.md

README.md

@@ -4,11 +4,11 @@ tags:
 license: cc-by-nc-sa-4.0
 language:
 - ko
-base_model: yanolja/KoSOLAR-10.7B-v0.1
+base_model: mistralai/Mistral-7B-Instruct-v0.2
 pipeline_tag: text-generation
 ---
 
-# **DataVortexS-10.7B-v0.1**
+# **DataVortexM-7B-Instruct-v0.1**
 <img src="./DataVortex.png" alt="DataVortex" style="height: 8em;">
 
 ## **License**
@@ -18,14 +18,14 @@ pipeline_tag: text-generation
 ## **Model Details**
 
 ### **Base Model**
-[yanolja/KoSOLAR-10.7B-v0.1](https://huggingface.co/yanolja/KoSOLAR-10.7B-v0.1)  
+[mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)  
 
 ### **Trained On**
-H100 80GB 1ea
+H100 80GB 4ea
 
 ### **Instruction format**
 
-It follows **(No Input) Alpaca** format.
+It follows **Alpaca** format.
 
 ## **Model Benchmark**
 
@@ -43,8 +43,8 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 
 device = "cuda"
 
-model = AutoModelForCausalLM.from_pretrained("Edentns/DataVortexS-10.7B-v0.1", device_map=device)
-tokenizer = AutoTokenizer.from_pretrained("Edentns/DataVortexS-10.7B-v0.1")
+model = AutoModelForCausalLM.from_pretrained("Edentns/DataVortexM-7B-Instruct-v0.1", device_map=device)
+tokenizer = AutoTokenizer.from_pretrained("Edentns/DataVortexM-7B-Instruct-v0.1")
 
 messages = [
     { "role": "user", "content": "대한민국의 수도는 어디야?" }