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This model is a fine-tuned version of NousResearch/Llama-2-7b-chat-hf on mlabonne/guanaco-llama2-1k dataset.

Model Details

Model Sources [optional]

How to Get Started with the Model

Use the code below to get started with the model.

from transformers import pipeline

prompt = "What is a large language model?"
pipe = pipeline(task="text-generation", model="likhith231/llama-2-7b-miniguanaco",max_length=200)
result = pipe(f"<s>[INST] {prompt} [/INST]")
print(result[0]['generated_text'])

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0002
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 1

Framework versions

  • PEFT 0.8.2
  • Transformers 4.37.0
  • Pytorch 2.1.2
  • Datasets 2.17.0
  • Tokenizers 0.15.1
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Dataset used to train likhith231/llama-2-7b-miniguanaco