llama-2-7b-miniguanaco

Model Card for Model ID

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This model is a fine-tuned version of <a href="https://huggingface.co/NousResearch/Llama-2-7b-chat-hf">NousResearch/Llama-2-7b-chat-hf</a> on <a href="https://huggingface.co/datasets/mlabonne/guanaco-llama2-1k">mlabonne/guanaco-llama2-1k</a> dataset.

Model Details

Model Sources [optional]

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• Base Model: <a href = "https://huggingface.co/NousResearch/Llama-2-7b-chat-hf">NousResearch/Llama-2-7b-chat-hf</a>
• Demo: <a href = "https://colab.research.google.com/drive/1PEQyJO1-f6j0S_XJ8DV50NkpzasXkrzd?usp=sharing#scrollTo=ib_We3NLtj2E">llama2 finetuning demo</a>

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