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README.md
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@@ -3,13 +3,21 @@ library_name: peft
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base_model: yanolja/EEVE-Korean-Instruct-10.8B-v1.0
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---
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``` python
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig
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from peft import prepare_model_for_kbit_training, PeftModel, PeftConfig
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model_path = 'yanolja/EEVE-Korean-10.8B-v1.0'
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lora_path = '
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bnb_config = BitsAndBytesConfig(load_in_4bit=True,bnb_4bit_quant_type="nf4",bnb_4bit_compute_dtype=torch.float16,)
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model = AutoModelForCausalLM.from_pretrained(model_path, quantization_config=bnb_config, trust_remote_code=True)
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base_model: yanolja/EEVE-Korean-Instruct-10.8B-v1.0
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---
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사용 데이터셋: aihub
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훈련 환경: RTX3090 x 8
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epoch: 1
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time: 19시간
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``` python
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig
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from peft import prepare_model_for_kbit_training, PeftModel, PeftConfig
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model_path = 'yanolja/EEVE-Korean-10.8B-v1.0'
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lora_path = 'qwopqwop/EEVE-ALMA'
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bnb_config = BitsAndBytesConfig(load_in_4bit=True,bnb_4bit_quant_type="nf4",bnb_4bit_compute_dtype=torch.float16,)
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model = AutoModelForCausalLM.from_pretrained(model_path, quantization_config=bnb_config, trust_remote_code=True)
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