Merge pull request #5819 from yafshar/remote_code

Add trust_remote_code Parameter and Set Default to False

Former-commit-id: 2a832e489b7d88dba3cc8b07ca582cb22ec9a9f1
This commit is contained in:
hoshi-hiyouga 2024-12-17 21:10:24 +08:00 committed by GitHub
commit 09419dfbab
43 changed files with 48 additions and 6 deletions

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

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

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@ -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

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

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

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

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

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@ -4,6 +4,7 @@
### model
model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
adapter_name_or_path: saves/llama3-8b/lora/sft
trust_remote_code: true
### method
stage: sft

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

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@ -1,3 +1,4 @@
model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
template: llama3
infer_backend: huggingface # choices: [huggingface, vllm]
trust_remote_code: true

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@ -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

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@ -2,3 +2,4 @@ model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
adapter_name_or_path: saves/llama3-8b/lora/sft
template: llama3
infer_backend: huggingface # choices: [huggingface, vllm]
trust_remote_code: true

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@ -2,3 +2,4 @@ model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
template: llama3
infer_backend: vllm
vllm_enforce_eager: true
trust_remote_code: true

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@ -1,3 +1,4 @@
model_name_or_path: llava-hf/llava-1.5-7b-hf
template: llava
infer_backend: huggingface # choices: [huggingface, vllm]
trust_remote_code: true

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@ -1,3 +1,4 @@
model_name_or_path: Qwen/Qwen2-VL-7B-Instruct
template: qwen2_vl
infer_backend: huggingface # choices: [huggingface, vllm]
trust_remote_code: true

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@ -1,6 +1,7 @@
### model
model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
template: llama3
trust_remote_code: true
### export
export_dir: models/llama3_gptq

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@ -5,6 +5,7 @@ model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
adapter_name_or_path: saves/llama3-8b/lora/sft
template: llama3
finetuning_type: lora
trust_remote_code: true
### export
export_dir: models/llama3_lora_sft

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@ -5,6 +5,7 @@ model_name_or_path: Qwen/Qwen2-VL-7B-Instruct
adapter_name_or_path: saves/qwen2_vl-7b/lora/sft
template: qwen2_vl
finetuning_type: lora
trust_remote_code: true
### export
export_dir: models/qwen2_vl_lora_sft

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

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@ -1,5 +1,6 @@
### model
model_name_or_path: Qwen/Qwen2-VL-7B-Instruct
trust_remote_code: true
### method
stage: sft

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

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@ -1,6 +1,7 @@
### model
model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
adapter_name_or_path: saves/llama3-8b/lora/sft
trust_remote_code: true
### method
finetuning_type: lora

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

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@ -1,6 +1,7 @@
### model
model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
reward_model: saves/llama3-8b/lora/reward
trust_remote_code: true
### method
stage: ppo

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

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

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

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

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

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@ -1,5 +1,6 @@
### model
model_name_or_path: llava-hf/llava-1.5-7b-hf
trust_remote_code: true
### method
stage: sft

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@ -1,5 +1,6 @@
### model
model_name_or_path: Qwen/Qwen2-VL-7B-Instruct
trust_remote_code: true
### method
stage: dpo

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@ -1,5 +1,6 @@
### model
model_name_or_path: Qwen/Qwen2-VL-7B-Instruct
trust_remote_code: true
### method
stage: sft

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@ -1,5 +1,6 @@
### model
model_name_or_path: ISTA-DASLab/Meta-Llama-3-8B-Instruct-AQLM-2Bit-1x16
trust_remote_code: true
### method
stage: sft

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

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

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@ -2,6 +2,7 @@
model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
quantization_bit: 4
quantization_method: bitsandbytes # choices: [bitsandbytes (4/8), hqq (2/3/4/5/6/8), eetq (8)]
trust_remote_code: true
### method
stage: sft

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@ -72,7 +72,7 @@ class VllmEngine(BaseEngine):
engine_args = {
"model": model_args.model_name_or_path,
"trust_remote_code": True,
"trust_remote_code": model_args.trust_remote_code,
"download_dir": model_args.cache_dir,
"dtype": model_args.infer_dtype,
"max_model_len": model_args.vllm_maxlen,

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@ -129,7 +129,7 @@ def _load_single_dataset(
token=model_args.hf_hub_token,
streaming=data_args.streaming,
num_proc=data_args.preprocessing_num_workers,
trust_remote_code=True,
trust_remote_code=model_args.trust_remote_code,
)
if dataset_attr.num_samples is not None and not data_args.streaming:

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@ -100,7 +100,7 @@ class Evaluator:
cache_dir=self.model_args.cache_dir,
download_mode=self.eval_args.download_mode,
token=self.model_args.hf_hub_token,
trust_remote_code=True,
trust_remote_code=self.model_args.trust_remote_code,
)
pbar.set_postfix_str(categorys[subject]["name"])
inputs, outputs, labels = [], [], []

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@ -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,

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@ -52,7 +52,7 @@ def _get_init_kwargs(model_args: "ModelArguments") -> Dict[str, Any]:
skip_check_imports()
model_args.model_name_or_path = try_download_model_from_other_hub(model_args)
return {
"trust_remote_code": True,
"trust_remote_code": model_args.trust_remote_code,
"cache_dir": model_args.cache_dir,
"revision": model_args.model_revision,
"token": model_args.hf_hub_token,
@ -155,7 +155,7 @@ def load_model(
load_class = AutoModelForCausalLM
if model_args.train_from_scratch:
model = load_class.from_config(config, trust_remote_code=True)
model = load_class.from_config(config, trust_remote_code=model_args.trust_remote_code)
else:
model = load_class.from_pretrained(**init_kwargs)

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@ -39,7 +39,7 @@ def _get_unsloth_kwargs(
"device_map": {"": get_current_device()},
"rope_scaling": getattr(config, "rope_scaling", None),
"fix_tokenizer": False,
"trust_remote_code": True,
"trust_remote_code": model_args.trust_remote_code,
"use_gradient_checkpointing": "unsloth",
}

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@ -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"):