[v1] add accelerator (#9607)

src/llamafactory/v1/config/arg_parser.py

@@ -28,6 +28,21 @@ from .sample_args import SampleArguments
 from .training_args import TrainingArguments
 
 
+def validate_args(
+    data_args: DataArguments,
+    model_args: ModelArguments,
+    training_args: TrainingArguments,
+    sample_args: SampleArguments,
+):
+    """Validate arguments."""
+    if (
+        model_args.quant_config is not None
+        and training_args.dist_config is not None
+        and training_args.dist_config.name == "deepspeed"
+    ):
+        raise ValueError("Quantization is not supported with deepspeed backend.")
+
+
 def get_args(
     args: Optional[Union[dict[str, Any], list[str]]] = None,
 ) -> tuple[DataArguments, ModelArguments, TrainingArguments, SampleArguments]:
@@ -56,6 +71,8 @@ def get_args(
             print(f"Got unknown args, potentially deprecated arguments: {unknown_args}")
             raise ValueError(f"Some specified arguments are not used by the HfArgumentParser: {unknown_args}")
 
+    validate_args(*parsed_args)
+
     return tuple(parsed_args)
 
 

src/llamafactory/v1/config/arg_utils.py

@@ -0,0 +1,105 @@
+# Copyright 2025 HuggingFace Inc. and the LlamaFactory team.
+#
+# This code is inspired by the HuggingFace's transformers library.
+# https://github.com/huggingface/transformers/blob/v5.0.0rc0/src/transformers/training_args.py
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
+import json
+from enum import Enum, unique
+from typing import Any, Optional, Union
+
+
+class PluginConfig(dict):
+    """Dictionary that allows attribute access."""
+
+    @property
+    def name(self) -> str:
+        """Plugin name."""
+        if "name" not in self:
+            raise ValueError("Plugin configuration must have a 'name' field.")
+
+        return self["name"]
+
+    def __getattr__(self, key: str) -> Any:
+        try:
+            return self[key]
+        except KeyError:
+            raise AttributeError(f"Attribute {key} not found.")
+
+    def __setattr__(self, key: str, value: Any):
+        self[key] = value
+
+
+PluginArgument = Optional[Union[PluginConfig, dict, str]]
+
+
+@unique
+class AutoClass(str, Enum):
+    """Auto class for model config."""
+
+    CAUSALLM = "llm"
+    CLASSIFICATION = "cls"
+    OTHER = "other"
+
+
+@unique
+class SampleBackend(str, Enum):
+    HF = "hf"
+    VLLM = "vllm"
+
+
+def _convert_str_dict(data: dict) -> dict:
+    """Parse string representation inside the dictionary.
+
+    Args:
+        data: The string or dictionary to convert.
+
+    Returns:
+        The converted dictionary.
+    """
+    for key, value in data.items():
+        if isinstance(value, dict):
+            data[key] = _convert_str_dict(value)
+        elif isinstance(value, str):
+            if value.lower() in ("true", "false"):
+                data[key] = value.lower() == "true"
+            elif value.isdigit():
+                data[key] = int(value)
+            elif value.replace(".", "", 1).isdigit():
+                data[key] = float(value)
+
+    return data
+
+
+def get_plugin_config(config: PluginArgument) -> Optional[PluginConfig]:
+    """Get the plugin configuration from the argument value.
+
+    Args:
+        config: The argument value to get the plugin configuration from.
+
+    Returns:
+        The plugin configuration.
+    """
+    if config is None:
+        return None
+
+    if isinstance(config, str) and config.startswith("{"):
+        config = json.loads(config)
+
+    config = _convert_str_dict(config)
+    if "name" not in config:
+        raise ValueError("Plugin configuration must have a 'name' field.")
+
+    return PluginConfig(config)

src/llamafactory/v1/config/model_args.py

@@ -15,6 +15,8 @@
 
 from dataclasses import dataclass, field
 
+from .arg_utils import AutoClass, PluginConfig, get_plugin_config
+
 
 @dataclass
 class ModelArguments:
@@ -29,7 +31,24 @@ class ModelArguments:
         default=True,
         metadata={"help": "Use fast processor from Hugging Face."},
     )
-    auto_model_class: str = field(
-        default="causallm",
+    auto_class: AutoClass = field(
+        default=AutoClass.CAUSALLM,
         metadata={"help": "Model class from Hugging Face."},
     )
+    peft_config: PluginConfig = field(
+        default=None,
+        metadata={"help": "PEFT configuration for the model."},
+    )
+    kernel_config: PluginConfig = field(
+        default=None,
+        metadata={"help": "Kernel configuration for the model."},
+    )
+    quant_config: PluginConfig = field(
+        default=None,
+        metadata={"help": "Quantization configuration for the model."},
+    )
+
+    def __post_init__(self) -> None:
+        self.peft_config = get_plugin_config(self.peft_config)
+        self.kernel_config = get_plugin_config(self.kernel_config)
+        self.quant_config = get_plugin_config(self.quant_config)

src/llamafactory/v1/config/sample_args.py

@@ -14,12 +14,8 @@
 
 
 from dataclasses import dataclass, field
-from enum import Enum
 
-
-class SampleBackend(Enum):
-    HF = "hf"
-    VLLM = "vllm"
+from .arg_utils import SampleBackend
 
 
 @dataclass

src/llamafactory/v1/config/training_args.py

@@ -15,6 +15,8 @@
 
 from dataclasses import dataclass, field
 
+from .arg_utils import PluginArgument, get_plugin_config
+
 
 @dataclass
 class TrainingArguments:
@@ -38,3 +40,10 @@ class TrainingArguments:
         default=False,
         metadata={"help": "Use bf16 for training."},
     )
+    dist_config: PluginArgument = field(
+        default=None,
+        metadata={"help": "Distribution configuration for training."},
+    )
+
+    def __post_init__(self) -> None:
+        self.dist_config = get_plugin_config(self.dist_config)