tiny fix

Former-commit-id: 451d271718a8026056d0f7d7b8ab333391d24ad4

requirements.txt

@@ -1,4 +1,4 @@
-transformers>=4.41.2,<=4.45.0
+transformers>=4.41.2,<=4.45.2
 datasets>=2.16.0,<=2.21.0
 accelerate>=0.30.1,<=0.34.2
 peft>=0.11.1,<=0.12.0

src/llamafactory/__init__.py

@@ -20,7 +20,7 @@ Level:
 
 Dependency graph:
   main:
-    transformers>=4.41.2,<=4.45.0
+    transformers>=4.41.2,<=4.45.2
     datasets>=2.16.0,<=2.21.0
     accelerate>=0.30.1,<=0.34.2
     peft>=0.11.1,<=0.12.0
@@ -28,9 +28,9 @@ Dependency graph:
   attention:
     transformers>=4.42.4 (gemma+fa2)
   longlora:
-    transformers>=4.41.2,<=4.45.0
+    transformers>=4.41.2,<=4.45.2
   packing:
-    transformers>=4.41.2,<=4.45.0
+    transformers>=4.41.2,<=4.45.2
 
 Disable version checking: DISABLE_VERSION_CHECK=1
 Enable VRAM recording: RECORD_VRAM=1

src/llamafactory/data/template.py

@@ -357,9 +357,7 @@ def get_template_and_fix_tokenizer(tokenizer: "PreTrainedTokenizer", data_args:
     Gets chat template and fixes the tokenizer.
     """
     if data_args.template in ["llava", "paligemma", "qwen2_vl"]:
-        require_version(
-            "transformers>=4.45.0.dev0", "To fix: pip install git+https://github.com/huggingface/transformers.git"
-        )
+        require_version("transformers>=4.45.0", "To fix: pip install transformers>=4.45.0")
         require_version("accelerate>=0.34.0", "To fix: pip install accelerate>=0.34.0")
 
     if data_args.template is None:

src/llamafactory/extras/misc.py

@@ -79,7 +79,7 @@ def check_dependencies() -> None:
     if os.environ.get("DISABLE_VERSION_CHECK", "0").lower() in ["true", "1"]:
         logger.warning("Version checking has been disabled, may lead to unexpected behaviors.")
     else:
-        require_version("transformers>=4.41.2,<=4.45.0", "To fix: pip install transformers>=4.41.2,<=4.45.0")
+        require_version("transformers>=4.41.2,<=4.45.2", "To fix: pip install transformers>=4.41.2,<=4.45.2")
         require_version("datasets>=2.16.0,<=2.21.0", "To fix: pip install datasets>=2.16.0,<=2.21.0")
         require_version("accelerate>=0.30.1,<=0.34.2", "To fix: pip install accelerate>=0.30.1,<=0.34.2")
         require_version("peft>=0.11.1,<=0.12.0", "To fix: pip install peft>=0.11.1,<=0.12.0")

src/llamafactory/model/loader.py

@@ -83,7 +83,7 @@ def load_tokenizer(model_args: "ModelArguments") -> "TokenizerModule":
             **init_kwargs,
         )
     except Exception as e:
-        raise OSError("Failed to load tokenizer") from e
+        raise OSError("Failed to load tokenizer.") from e
 
     if model_args.new_special_tokens is not None:
         num_added_tokens = tokenizer.add_special_tokens(
@@ -100,12 +100,12 @@ def load_tokenizer(model_args: "ModelArguments") -> "TokenizerModule":
         processor = AutoProcessor.from_pretrained(model_args.model_name_or_path, **init_kwargs)
         patch_processor(processor, config, tokenizer, model_args)
     except Exception as e:
-        logger.warning("Failed to load processor. Error: {}".format(e))
+        logger.warning("Processor was not found: {}.".format(e))
         processor = None
 
     # Avoid load tokenizer, see:
     # https://github.com/huggingface/transformers/blob/v4.40.0/src/transformers/models/auto/processing_auto.py#L324
-    if processor and "Processor" not in processor.__class__.__name__:
+    if processor is not None and "Processor" not in processor.__class__.__name__:
         processor = None
 
     return {"tokenizer": tokenizer, "processor": processor}

src/llamafactory/model/model_utils/longlora.py

@@ -353,7 +353,7 @@ def llama_sdpa_attention_forward(
 
 
 def _apply_llama_patch() -> None:
-    require_version("transformers>=4.41.2,<=4.45.0", "To fix: pip install transformers>=4.41.2,<=4.45.0")
+    require_version("transformers>=4.41.2,<=4.45.2", "To fix: pip install transformers>=4.41.2,<=4.45.2")
     LlamaAttention.forward = llama_attention_forward
     LlamaFlashAttention2.forward = llama_flash_attention_2_forward
     LlamaSdpaAttention.forward = llama_sdpa_attention_forward

src/llamafactory/model/model_utils/packing.py

@@ -114,7 +114,7 @@ def get_unpad_data(attention_mask: "torch.Tensor") -> Tuple["torch.Tensor", "tor
 
 
 def _patch_for_block_diag_attn(model_type: str) -> None:
-    require_version("transformers>=4.41.2,<=4.45.0", "To fix: pip install transformers>=4.41.2,<=4.45.0")
+    require_version("transformers>=4.41.2,<=4.45.2", "To fix: pip install transformers>=4.41.2,<=4.45.2")
     if is_transformers_version_greater_than_4_43():
         import transformers.modeling_flash_attention_utils
 

src/llamafactory/train/tuner.py

@@ -140,4 +140,4 @@ def export_model(args: Optional[Dict[str, Any]] = None) -> None:
                 )
 
     except Exception as e:
-        logger.warning("Cannot save tokenizer, please copy the files manually. Error: {}".format(e))
+        logger.warning("Cannot save tokenizer, please copy the files manually: {}.".format(e))