metadata
language:
- en
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
- inferentia2
- neuron
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pipeline_tag: text-generation
inference: false
arxiv: 2307.09288
Neuronx model for meta-llama/Llama-2-7b-chat-hf
This repository contains are AWS Inferentia2 and neuronx compatible checkpoint for meta-llama/Llama-2-7b-chat-hf. You can find detailed information about the base model on its Model Card.
Usage on Amazon SageMaker
coming soon
Usage with optimum-neuron
from optimum.neuron import pipeline
# Load pipeline from Hugging Face repository
pipe = pipeline("text-generation", "aws-neuron/Llama-2-7b-chat-hf-seqlen-2048-bs-4")
# We use the tokenizer's chat template to format each message - see https://huggingface.co/docs/transformers/main/en/chat_templating
messages = [
{"role": "user", "content": "What is 2+2?"},
]
prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
# Run generation
outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
Compilation Arguments
compilation arguments
{
"num_cores": 2,
"auto_cast_type": "fp16"
}
input_shapes
{
"sequence_length": 2048,
"batch_size": 4
}