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This repo contains MedLLaMA_13B, which is LLaMA-13b finetuned with some Medical Corpus.

The model was trained with the following hyperparameters:

  • Epochs: 5
  • Batch size: 320
  • Cutoff length: 2048
  • Learning rate: 2e-5

The model can be loaded as follows:

import transformers
import torch
tokenizer = transformers.LlamaTokenizer.from_pretrained('chaoyi-wu/MedLLaMA_13B')
model = transformers.LlamaForCausalLM.from_pretrained('chaoyi-wu/MedLLaMA_13B')
sentence = 'Hello, doctor' 
batch = tokenizer(
            sentence,
            return_tensors="pt", 
            add_special_tokens=False
        )
with torch.no_grad():
    generated = model.generate(inputs = batch["input_ids"], max_length=200, do_sample=True, top_k=50)
    print('model predict: ',tokenizer.decode(generated[0]))
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