Modified LLM to Qwen3

app.py

@@ -4,7 +4,7 @@ import gradio as gr
 api_key = os.getenv("HF_TOKEN")
 
 def start_training():
-    os.system("python quickstart.py --model_name_or_path Qwen/Qwen2.5-0.5B --train_data_dir trl-lib/Capybara --api_key HF_TOKEN" )
+    os.system("python quickstart.py --model_name_or_path Qwen/Qwen3-0.5B --train_data_dir trl-lib/Capybara --api_key HF_TOKEN" )
     return "Evaluation completed!"
 
 iface = gr.Interface(

quickstart.py

@@ -4,7 +4,7 @@ from datasets import load_dataset
 dataset = load_dataset("trl-lib/Capybara", split="train")
 
 trainer = SFTTrainer(
-    model="Qwen/Qwen2.5-0.5B",
+    model="Qwen/Qwen3-0.6B",
     train_dataset=dataset,
 )
 trainer.train()