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  This model is a fine-tuned version of [chargoddard/Yi-34B-Llama](https://huggingface.co/chargoddard/Yi-34B-Llama) on the oncc_medqa_instruct dataset.
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- ## Model description
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- More information needed
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- ## Intended uses & limitations
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- More information needed
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- ## Training and evaluation data
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- More information needed
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  ## Training procedure
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
 
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  This model is a fine-tuned version of [chargoddard/Yi-34B-Llama](https://huggingface.co/chargoddard/Yi-34B-Llama) on the oncc_medqa_instruct dataset.
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  ## Training procedure
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+ ```
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+ git clone https://github.com/chenhaodev/LLaMA-Factory; cd LLaMA-Factory/; pip install -r requirements.txt; python create_pods.py 'chargoddard/Yi-34B-Llama' 'NVIDIA A100 80GB PCIe' 1 xxx xxx xxx "--per_device_train_batch_size 4 --gradient_accumulation_steps 4 --lora_target q_proj,v_proj --template llama2 --dataset oncc_medqa_instruct" 902i850eaw
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+ ```
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  ### Training hyperparameters
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  The following hyperparameters were used during training: