Upload runners/SFT_V19_TESTING_KAGGLE.txt with huggingface_hub

runners/SFT_V19_TESTING_KAGGLE.txt

@@ -1,8 +1,7 @@
 # ==============================================================================
 # 🧪 ViuAI Sarus-500M — SFT v19 Complete 1-Click Kaggle Testing & Benchmark
 # ==============================================================================
-# Run this entire cell in a fresh Kaggle Notebook cell.
-# Works on GPU (T4 / P100 / A100 / H100) or CPU.
+# Run this entire cell in a fresh Kaggle Notebook cell (GPU T4 / P100 / CPU).
 # ==============================================================================
 
 import os
@@ -55,21 +54,15 @@ if not os.path.exists(ckpt_local):
     shutil.copy(dl_ckpt, ckpt_local)
     print(f"  ✅ Synced {ckpt_local}")
 
-# 3. Setup Imports & Device
-import importlib.util
+# 3. Setup Python Path & Direct Module Imports
+code_dir = os.path.abspath("code")
+if code_dir not in sys.path:
+    sys.path.insert(0, code_dir)
+if os.path.abspath(".") not in sys.path:
+    sys.path.insert(0, os.path.abspath("."))
 
-def load_module_from_file(module_name, file_path):
-    spec = importlib.util.spec_from_file_location(module_name, file_path)
-    mod = importlib.util.module_from_spec(spec)
-    sys.modules[module_name] = mod
-    spec.loader.exec_module(mod)
-    return mod
-
-model_module = load_module_from_file("custom_viuai_model", "code/model.py")
-config_module = load_module_from_file("custom_viuai_config", "code/config.py")
-
-ViuAI = model_module.ViuAI
-ViuAIConfig = config_module.ViuAIConfig
+from config import ViuAIConfig
+from model import ViuAI
 
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 dtype = torch.bfloat16 if (torch.cuda.is_available() and torch.cuda.is_bf16_supported()) else torch.float16 if torch.cuda.is_available() else torch.float32