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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]
- Base Model: NousResearch/Llama-2-7b-chat-hf
- Demo: llama2 finetuning demo
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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