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https://github.com/hiyouga/LLaMA-Factory.git
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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:
commit
09419dfbab
@ -1,5 +1,6 @@
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### model
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model_name_or_path: Qwen/Qwen2-1.5B-Instruct
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trust_remote_code: true
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### method
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stage: sft
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@ -1,5 +1,6 @@
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### model
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model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
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trust_remote_code: true
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### method
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stage: sft
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@ -1,6 +1,7 @@
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### model
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model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
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quantization_bit: 4
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trust_remote_code: true
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### method
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stage: sft
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@ -1,5 +1,6 @@
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### model
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model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
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trust_remote_code: true
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### method
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stage: sft
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@ -1,5 +1,6 @@
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### model
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model_name_or_path: models/llama3-8b-pro
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trust_remote_code: true
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### method
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stage: sft
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@ -1,5 +1,6 @@
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### model
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model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
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trust_remote_code: true
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### method
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stage: sft
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@ -1,5 +1,6 @@
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### model
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model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
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trust_remote_code: true
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### method
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stage: sft
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@ -4,6 +4,7 @@
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### model
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model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
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adapter_name_or_path: saves/llama3-8b/lora/sft
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trust_remote_code: true
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### method
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stage: sft
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@ -1,5 +1,6 @@
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### model
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model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
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trust_remote_code: true
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### method
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stage: sft
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@ -1,3 +1,4 @@
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model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
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template: llama3
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infer_backend: huggingface # choices: [huggingface, vllm]
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trust_remote_code: true
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@ -1,3 +1,4 @@
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model_name_or_path: saves/llama3-8b/full/sft
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template: llama3
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infer_backend: huggingface # choices: [huggingface, vllm]
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trust_remote_code: true
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@ -2,3 +2,4 @@ model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
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adapter_name_or_path: saves/llama3-8b/lora/sft
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template: llama3
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infer_backend: huggingface # choices: [huggingface, vllm]
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trust_remote_code: true
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@ -2,3 +2,4 @@ model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
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template: llama3
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infer_backend: vllm
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vllm_enforce_eager: true
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trust_remote_code: true
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@ -1,3 +1,4 @@
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model_name_or_path: llava-hf/llava-1.5-7b-hf
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template: llava
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infer_backend: huggingface # choices: [huggingface, vllm]
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trust_remote_code: true
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@ -1,3 +1,4 @@
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model_name_or_path: Qwen/Qwen2-VL-7B-Instruct
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template: qwen2_vl
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infer_backend: huggingface # choices: [huggingface, vllm]
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trust_remote_code: true
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@ -1,6 +1,7 @@
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### model
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model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
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template: llama3
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trust_remote_code: true
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### export
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export_dir: models/llama3_gptq
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@ -5,6 +5,7 @@ model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
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adapter_name_or_path: saves/llama3-8b/lora/sft
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template: llama3
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finetuning_type: lora
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trust_remote_code: true
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### export
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export_dir: models/llama3_lora_sft
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@ -5,6 +5,7 @@ model_name_or_path: Qwen/Qwen2-VL-7B-Instruct
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adapter_name_or_path: saves/qwen2_vl-7b/lora/sft
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template: qwen2_vl
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finetuning_type: lora
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trust_remote_code: true
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### export
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export_dir: models/qwen2_vl_lora_sft
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### model
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model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
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trust_remote_code: true
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### method
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stage: sft
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### model
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model_name_or_path: Qwen/Qwen2-VL-7B-Instruct
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trust_remote_code: true
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### method
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stage: sft
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### model
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model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
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trust_remote_code: true
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### method
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stage: dpo
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### model
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model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
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adapter_name_or_path: saves/llama3-8b/lora/sft
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trust_remote_code: true
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### method
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finetuning_type: lora
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### model
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model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
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trust_remote_code: true
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### method
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stage: kto
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### model
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model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
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reward_model: saves/llama3-8b/lora/reward
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trust_remote_code: true
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### method
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stage: ppo
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### model
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model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
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trust_remote_code: true
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### method
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stage: pt
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### model
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model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
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trust_remote_code: true
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### method
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stage: rm
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### model
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model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
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trust_remote_code: true
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### method
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stage: sft
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### model
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model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
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trust_remote_code: true
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### method
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stage: sft
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### model
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model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
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trust_remote_code: true
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### method
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stage: sft
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### model
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model_name_or_path: llava-hf/llava-1.5-7b-hf
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trust_remote_code: true
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### method
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stage: sft
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### model
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model_name_or_path: Qwen/Qwen2-VL-7B-Instruct
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trust_remote_code: true
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### method
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stage: dpo
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### model
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model_name_or_path: Qwen/Qwen2-VL-7B-Instruct
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trust_remote_code: true
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### method
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stage: sft
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### model
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model_name_or_path: ISTA-DASLab/Meta-Llama-3-8B-Instruct-AQLM-2Bit-1x16
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trust_remote_code: true
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### method
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stage: sft
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### model
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model_name_or_path: TechxGenus/Meta-Llama-3-8B-Instruct-AWQ
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trust_remote_code: true
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### method
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stage: sft
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### model
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model_name_or_path: TechxGenus/Meta-Llama-3-8B-Instruct-GPTQ
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trust_remote_code: true
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### method
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stage: sft
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model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
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quantization_bit: 4
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quantization_method: bitsandbytes # choices: [bitsandbytes (4/8), hqq (2/3/4/5/6/8), eetq (8)]
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trust_remote_code: true
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### method
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stage: sft
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@ -72,7 +72,7 @@ class VllmEngine(BaseEngine):
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engine_args = {
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"model": model_args.model_name_or_path,
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"trust_remote_code": True,
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"trust_remote_code": model_args.trust_remote_code,
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"download_dir": model_args.cache_dir,
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"dtype": model_args.infer_dtype,
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"max_model_len": model_args.vllm_maxlen,
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@ -129,7 +129,7 @@ def _load_single_dataset(
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token=model_args.hf_hub_token,
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streaming=data_args.streaming,
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num_proc=data_args.preprocessing_num_workers,
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trust_remote_code=True,
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trust_remote_code=model_args.trust_remote_code,
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)
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if dataset_attr.num_samples is not None and not data_args.streaming:
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@ -100,7 +100,7 @@ class Evaluator:
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cache_dir=self.model_args.cache_dir,
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download_mode=self.eval_args.download_mode,
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token=self.model_args.hf_hub_token,
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trust_remote_code=True,
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trust_remote_code=self.model_args.trust_remote_code,
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)
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pbar.set_postfix_str(categorys[subject]["name"])
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inputs, outputs, labels = [], [], []
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@ -285,6 +285,10 @@ class ModelArguments(QuantizationArguments, ProcessorArguments, ExportArguments,
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default=False,
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metadata={"help": "For debugging purposes, print the status of the parameters in the model."},
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)
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trust_remote_code: bool = field(
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default=False,
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metadata={"help": "Whether to trust the execution of code from datasets/models defined on the Hub or not."},
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)
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compute_dtype: Optional[torch.dtype] = field(
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default=None,
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init=False,
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@ -52,7 +52,7 @@ def _get_init_kwargs(model_args: "ModelArguments") -> Dict[str, Any]:
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skip_check_imports()
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model_args.model_name_or_path = try_download_model_from_other_hub(model_args)
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return {
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"trust_remote_code": True,
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"trust_remote_code": model_args.trust_remote_code,
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"cache_dir": model_args.cache_dir,
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"revision": model_args.model_revision,
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"token": model_args.hf_hub_token,
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@ -155,7 +155,7 @@ def load_model(
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load_class = AutoModelForCausalLM
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if model_args.train_from_scratch:
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model = load_class.from_config(config, trust_remote_code=True)
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model = load_class.from_config(config, trust_remote_code=model_args.trust_remote_code)
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else:
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model = load_class.from_pretrained(**init_kwargs)
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@ -39,7 +39,7 @@ def _get_unsloth_kwargs(
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"device_map": {"": get_current_device()},
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"rope_scaling": getattr(config, "rope_scaling", None),
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"fix_tokenizer": False,
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"trust_remote_code": True,
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"trust_remote_code": model_args.trust_remote_code,
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"use_gradient_checkpointing": "unsloth",
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}
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@ -152,6 +152,7 @@ class Runner:
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bf16=(get("train.compute_type") == "bf16"),
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pure_bf16=(get("train.compute_type") == "pure_bf16"),
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plot_loss=True,
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trust_remote_code=True,
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ddp_timeout=180000000,
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include_num_input_tokens_seen=False if is_transformers_version_equal_to_4_46() else True, # FIXME
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)
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@ -268,6 +269,7 @@ class Runner:
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top_p=get("eval.top_p"),
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temperature=get("eval.temperature"),
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output_dir=get_save_dir(model_name, finetuning_type, get("eval.output_dir")),
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trust_remote_code=True,
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)
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if get("eval.predict"):
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