mirror of
https://github.com/hiyouga/LLaMA-Factory.git
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29 lines
623 B
YAML
29 lines
623 B
YAML
# The batch generation can be SLOW using this config.
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# For faster inference, we recommend to use `scripts/vllm_infer.py`.
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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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### method
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stage: sft
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do_predict: true
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finetuning_type: lora
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### dataset
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eval_dataset: identity,alpaca_en_demo
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template: llama3
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cutoff_len: 2048
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max_samples: 50
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overwrite_cache: true
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preprocessing_num_workers: 16
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### output
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output_dir: saves/llama3-8b/lora/predict
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overwrite_output_dir: true
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### eval
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per_device_eval_batch_size: 1
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predict_with_generate: true
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ddp_timeout: 180000000
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