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messages = [
    {'role': 'user', 'content': sample_prompt}
]

prompt = tokenizer.apply_chat_template(messages, tokenize = False)

inputs = tokenizer([prompt], return_tensors='pt', add_special_tokens=False).to('cuda')

generate_kwargs = dict(
    inputs,
    max_new_tokens=8,
    top_p=0.95,
    top_k=50,
    temperature=0.2,
    do_sample=True,
    num_beams=1,
)

r = model.generate(**generate_kwargs)

tokenizer.decode(r[0])

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Model size

7.24B params

Tensor type

FP16

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Text Generation

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