Install Libs: !pip install -q -U transformers datasets accelerate peft trl bitsandbytes

My model trained on "garage-bAInd/Open-Platypus" data.

I have taken 1000 samples to fine tune LLaMA-2-7b.

Prompt which i used for prepare dataset:

def chat_template(example):

example["instruction"] = f"### Instruction:\n{example['instruction']}\n\n### Response:\n"

return example

dataset= dataset.map(chat_template)

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Safetensors

Model size

6.74B params

Tensor type

FP16

Inference API

Text Generation

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