Update README.md

README.md

@@ -15,10 +15,9 @@ tags:
 
 ## Introduction
 
-Nxcode-CQ-7B-orpo is the Code-Specific version of Qwen1.5. It is a transformer-based decoder-only language model pretrained on a large amount of data of codes. 
+Nxcode-CQ-7B-orpo is an ORPO fine-tune of Qwen/CodeQwen1.5-7B-Chat on 100k samples ours datasets.
 
 * Strong code generation capabilities and competitve performance across a series of benchmarks;
-* Supporting long context understanding and generation with the context length of 64K tokens;
 * Supporting 92 coding languages
 * Excellent performance in text-to-SQL, bug fix, etc.
 
@@ -31,7 +30,7 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 device = "cuda" # the device to load the model onto
 
 model = AutoModelForCausalLM.from_pretrained(
-    "Qwen/CodeQwen1.5-7B-Chat",
+    "NTQAI/Nxcode-CQ-7B-orpo",
     torch_dtype="auto",
     device_map="auto"
 )