Add missing key to init_kwargs

Former-commit-id: 1c8ad22a5f167bf4e1c845e273583e5cb3a0214e

examples/extras/adam_mini/qwen2_full_sft.yaml

@@ -1,5 +1,6 @@
 ### model
 model_name_or_path: Qwen/Qwen2-1.5B-Instruct
+trust_remote_code: true
 
 ### method
 stage: sft

examples/extras/badam/llama3_full_sft.yaml

@@ -1,5 +1,6 @@
 ### model
 model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
+trust_remote_code: true
 
 ### method
 stage: sft

examples/extras/fsdp_qlora/llama3_lora_sft.yaml

@@ -1,6 +1,7 @@
 ### model
 model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
 quantization_bit: 4
+trust_remote_code: true
 
 ### method
 stage: sft

examples/extras/galore/llama3_full_sft.yaml

@@ -1,5 +1,6 @@
 ### model
 model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
+trust_remote_code: true
 
 ### method
 stage: sft

examples/extras/llama_pro/llama3_freeze_sft.yaml

@@ -1,5 +1,6 @@
 ### model
 model_name_or_path: models/llama3-8b-pro
+trust_remote_code: true
 
 ### method
 stage: sft

examples/extras/loraplus/llama3_lora_sft.yaml

@@ -1,5 +1,6 @@
 ### model
 model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
+trust_remote_code: true
 
 ### method
 stage: sft

examples/extras/mod/llama3_full_sft.yaml

@@ -1,5 +1,6 @@
 ### model
 model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
+trust_remote_code: true
 
 ### method
 stage: sft

examples/extras/pissa/llama3_lora_sft.yaml

@@ -1,5 +1,6 @@
 ### model
 model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
+trust_remote_code: true
 
 ### method
 stage: sft

examples/inference/llama3_full_sft.yaml

@@ -1,3 +1,4 @@
 model_name_or_path: saves/llama3-8b/full/sft
 template: llama3
 infer_backend: huggingface  # choices: [huggingface, vllm]
+trust_remote_code: true

src/llamafactory/hparams/model_args.py

@@ -285,6 +285,10 @@ class ModelArguments(QuantizationArguments, ProcessorArguments, ExportArguments,
         default=False,
         metadata={"help": "For debugging purposes, print the status of the parameters in the model."},
     )
+    trust_remote_code: bool = field(
+        default=False,
+        metadata={"help": "Whether to trust the execution of code from datasets/models defined on the Hub or not."},
+    )
     compute_dtype: Optional[torch.dtype] = field(
         default=None,
         init=False,
@@ -305,16 +309,6 @@ class ModelArguments(QuantizationArguments, ProcessorArguments, ExportArguments,
         init=False,
         metadata={"help": "Whether use block diag attention or not, derived from `neat_packing`. Do not specify it."},
     )
-    trust_remote_code: bool = field(
-        default=False,
-        metadata={
-            "help": (
-                "Whether to trust the execution of code from datasets/models defined on the Hub. "
-                "This option should only be set to `True` for repositories you trust and in which "
-                "you have read the code, as it will execute code present on the Hub on your local machine."
-            )
-        },
-    )
 
     def __post_init__(self):
         if self.model_name_or_path is None:

src/llamafactory/webui/runner.py

@@ -152,6 +152,7 @@ class Runner:
             bf16=(get("train.compute_type") == "bf16"),
             pure_bf16=(get("train.compute_type") == "pure_bf16"),
             plot_loss=True,
+            trust_remote_code=True,
             ddp_timeout=180000000,
             include_num_input_tokens_seen=False if is_transformers_version_equal_to_4_46() else True,  # FIXME
         )
@@ -268,6 +269,7 @@ class Runner:
             top_p=get("eval.top_p"),
             temperature=get("eval.temperature"),
             output_dir=get_save_dir(model_name, finetuning_type, get("eval.output_dir")),
+            trust_remote_code=True,
         )
 
         if get("eval.predict"):