diff --git a/vall_e/engines/__init__.py b/vall_e/engines/__init__.py
index 2173dca..a973fe2 100755
--- a/vall_e/engines/__init__.py
+++ b/vall_e/engines/__init__.py
@@ -58,7 +58,7 @@ def load_engines(training=True, **model_kwargs):
 			checkpoint_path = pick_path( checkpoint_path.parent / tag / f"state.{cfg.weights_format}", *[ f'.{format}' for format in cfg.supported_weights_formats] )
 
 		if not loads_state_dict and not checkpoint_path.exists() and load_path.exists():
-			_logger.warning("Checkpoint missing, but weights found:", load_path)
+			_logger.warning(f"Checkpoint missing, but weights found: {load_path}")
 			loads_state_dict = True
 
 		# load state early
@@ -204,7 +204,7 @@ def load_engines(training=True, **model_kwargs):
 			if cfg.lora is not None:
 				lora_path = pick_path( cfg.ckpt_dir / cfg.lora.full_name / f"lora.{cfg.weights_format}", *[ f'.{format}' for format in cfg.supported_weights_formats] )
 				if lora_path.exists():
-					_logger.info( "Loaded LoRA state dict:", lora_path )
+					_logger.info( f"Loaded LoRA state dict: {lora_path}" )
 
 					state = torch_load(lora_path, device=cfg.device)
 					state = state['lora' if 'lora' in state else 'module']
diff --git a/vall_e/models/arch/llama.py b/vall_e/models/arch/llama.py
index 1cef053..0f2cec0 100644
--- a/vall_e/models/arch/llama.py
+++ b/vall_e/models/arch/llama.py
@@ -102,7 +102,6 @@ try:
 			has_flash_attn = True
 			has_flash_attn_with_paged = True
 except Exception as e:
-	raise e
 	_logger.warning(f"Error while querying for `flash_attn` support: {str(e)}")
 
 try: