fix pls

Lossfunk-Residency-Llama-3-8B-Instruct

@@ -1 +0,0 @@
-Subproject commit af0d94ff4006cb9e9c475a6ed7e3c2f86b8fe370

app.py

@@ -52,9 +52,9 @@ if torch.cuda.is_available():
         model_id, device_map="cuda", torch_dtype=torch.bfloat16
     )
 
-    repo_local_path="./Lossfunk-Residency-Llama-3-8B-Instruct"
+    repo_path="Ayushnangia/Lossfunk-Residency-Llama-3-8B-Instruct"
     # Load the ReFT model from the local repository
-    reft_model = ReftModel.load(repo_local_path, model, from_huggingface_hub=False)
+    reft_model = ReftModel.load(repo_path, model, from_huggingface_hub=True)
     reft_model.set_device("cuda")
     tokenizer = AutoTokenizer.from_pretrained(model_id)
     tokenizer.use_default_system_prompt = True

fun.py

@@ -1,4 +0,0 @@
-import torch
-print("CUDA available:", torch.cuda.is_available())
-if torch.cuda.is_available():
-    print("GPU name:", torch.cuda.get_device_name(0))