Using FormattedCheckpointFiles in configs... round 2

recipes/configs/llama2/70B_lora.yaml

@@ -31,7 +31,7 @@ checkpointer:
   checkpoint_dir:  /tmp/Llama-2-70b-hf
   checkpoint_files:
     filename_format: pytorch_model-{}-of-{}.bin
-    max_filename: 00015
+    max_filename: "00015"
   recipe_checkpoint: null
   output_dir: ${output_dir}
   model_type: LLAMA2

recipes/configs/llama2/70B_qlora.yaml

@@ -36,7 +36,7 @@ checkpointer:
   checkpoint_dir:  /tmp/Llama-2-70b-hf
   checkpoint_files:
     filename_format: pytorch_model-{}-of-{}.bin
-    max_filename: 00015
+    max_filename: "00015"
   recipe_checkpoint: null
   output_dir: ${output_dir}
   model_type: LLAMA2

recipes/configs/llama3/70B_full.yaml

@@ -41,7 +41,7 @@ checkpointer:
   checkpoint_dir: /tmp/Meta-Llama-3-70B-Instruct
   checkpoint_files:
     filename_format: model-{}-of-{}.safetensors
-    max_filename: 00030
+    max_filename: "00030"
   recipe_checkpoint: null
   output_dir: ${output_dir}
   model_type: LLAMA3

recipes/configs/llama3/70B_lora.yaml

@@ -31,7 +31,7 @@ checkpointer:
   checkpoint_dir:  /tmp/Meta-Llama-3-70B-Instruct
   checkpoint_files:
     filename_format: model-{}-of-{}.safetensors
-    max_filename: 00030
+    max_filename: "00030"
   recipe_checkpoint: null
   output_dir: ${output_dir}
   model_type: LLAMA3

recipes/configs/llama3_1/405B_qlora.yaml

@@ -34,7 +34,7 @@ checkpointer:
   checkpoint_dir: /tmp/Meta-Llama-3.1-405B-Instruct/
   checkpoint_files:
     filename_format: model-{}-of-{}.safetensors
-    max_filename: 00191
+    max_filename: "00191"
   recipe_checkpoint: null
   output_dir: ${output_dir}
   model_type: LLAMA3

recipes/configs/llama3_1/70B_full.yaml

@@ -40,7 +40,7 @@ checkpointer:
   checkpoint_dir: /tmp/Meta-Llama-3.1-70B-Instruct/
   checkpoint_files:
     filename_format: model-{}-of-{}.safetensors
-    max_filename: 00030
+    max_filename: "00030"
   recipe_checkpoint: null
   output_dir: ${output_dir}
   model_type: LLAMA3

recipes/configs/llama3_1/70B_lora.yaml

@@ -30,7 +30,7 @@ checkpointer:
   checkpoint_dir: /tmp/Meta-Llama-3.1-70B-Instruct/
   checkpoint_files:
     filename_format: model-{}-of-{}.safetensors
-    max_filename: 00030
+    max_filename: "00030"
   recipe_checkpoint: null
   output_dir: ${output_dir}
   model_type: LLAMA3

recipes/configs/llama3_3/70B_full.yaml

@@ -40,7 +40,7 @@ checkpointer:
   checkpoint_dir: /tmp/Llama-3.3-70B-Instruct/
   checkpoint_files:
     filename_format: model-{}-of-{}.safetensors
-    max_filename: 00030
+    max_filename: "00030"
   recipe_checkpoint: null
   output_dir: ${output_dir}
   model_type: LLAMA3

recipes/configs/llama3_3/70B_lora.yaml

@@ -30,7 +30,7 @@ checkpointer:
   checkpoint_dir: /tmp/Llama-3.3-70B-Instruct/
   checkpoint_files:
     filename_format: model-{}-of-{}.safetensors
-    max_filename: 00030
+    max_filename: "00030"
   recipe_checkpoint: null
   output_dir: ${output_dir}
   model_type: LLAMA3

recipes/configs/llama3_3/70B_qlora.yaml

@@ -30,7 +30,7 @@ checkpointer:
   checkpoint_dir: /tmp/Llama-3.3-70B-Instruct/
   checkpoint_files:
     filename_format: model-{}-of-{}.safetensors
-    max_filename: 00030
+    max_filename: "00030"
   recipe_checkpoint: null
   output_dir: ${output_dir}
   model_type: LLAMA3

recipes/configs/qwen2_5/14B_lora_single_device.yaml

@@ -39,7 +39,7 @@ checkpointer:
   checkpoint_dir: /tmp/Qwen2_5-14B-Instruct
   checkpoint_files:
     filename_format: model-{}-of-{}.safetensors
-    max_filename: 00008
+    max_filename: "00008"
   recipe_checkpoint: null
   output_dir: ${output_dir}
   model_type: QWEN2

recipes/configs/qwen2_5/32B_lora.yaml

@@ -37,7 +37,7 @@ checkpointer:
   checkpoint_dir: /tmp/Qwen2_5-32B-Instruct
   checkpoint_files:
     filename_format: model-{}-of-{}.safetensors
-    max_filename: 00017
+    max_filename: "00017"
   recipe_checkpoint: null
   output_dir: ${output_dir}
   model_type: QWEN2

recipes/configs/qwen2_5/72B_lora.yaml

@@ -37,7 +37,7 @@ checkpointer:
   checkpoint_dir: /tmp/Qwen2_5-72B-Instruct
   checkpoint_files:
     filename_format: model-{}-of-{}.safetensors
-    max_filename: 00037
+    max_filename: "00037"
   recipe_checkpoint: null
   output_dir: ${output_dir}
   model_type: QWEN2

tests/torchtune/training/checkpointing/test_checkpointer_utils.py

@@ -196,11 +196,19 @@ def expected_filenames(self):
             "model_0012_of_0012.pt",
         ]
 
-    def test_invalid_to_dict(self):
+    def test_invalid_from_dict_no_filename_format(self):
         invalid_dict = {"bad_key": "model_{}_of_{}.pt", "max_filename": "0005"}
         with pytest.raises(ValueError, match="Must pass 'filename_format'"):
             _ = FormattedCheckpointFiles.from_dict(invalid_dict)
 
+    def test_invalid_from_dict_int_max_filename(self):
+        # the 0o0005 is an octal number. we use this insane value in this test
+        # as YAML treats numbers with a leading 0 as an octal number, so this
+        # may be a good example of `from_dict` being called with an invalid config
+        invalid_dict = {"filename_format": "model_{}_of_{}.pt", "max_filename": 0o00025}
+        with pytest.raises(ValueError, match="`max_filename` must be a string"):
+            _ = FormattedCheckpointFiles.from_dict(invalid_dict)
+
     def test_invalid_filename_format(self):
         formatted_string = "invalid_format_{}.pt"
         formatted_file_dict = {

torchtune/training/checkpointing/_utils.py

@@ -142,6 +142,10 @@ def from_dict(cls, d: dict) -> "FormattedCheckpointFiles":
             raise ValueError(
                 "Must pass 'filename_format' and 'max_filename' keys to generate checkpoint filenames"
             )
+        if not isinstance(d["max_filename"], str):
+            raise ValueError(
+                f"`max_filename` must be a string, but found {type(d['max_filename'])} instead."
+            )
         return cls(
             filename_format=d["filename_format"],
             max_filename=d["max_filename"],
@@ -527,7 +531,7 @@ def validate_checkpoint_files(
     # e.g.
     # checkpoint_files:
     #   filename_format: model-{}-of-{}.safetensors
-    #   max_filename: 00191
+    #   max_filename: "00191"
     # becomes checkpoint_files = [model-00001-of-00191.safetensors, model-00002-of-00191,..]
     if not isinstance(checkpoint_files, List):
         # TODO: this can be a function instead of a class