aws-neuron/Mistral-7B-Instruct-v0.1-neuron-4x2048-24-cores

Neuronx model for mistralai/Mistral-7B-Instruct-v0.1

This repository contains AWS Inferentia2 and neuronx compatible checkpoints for meta-llama/Llama-2-7b-hf. You can find detailed information about the base model on its Model Card.

This model has been exported to the neuron format using specific input_shapes and compiler parameters detailed in the paragraphs below.

Please refer to the 🤗 optimum-neuron documentation for an explanation of these parameters.

Usage on Amazon SageMaker

coming soon

Usage with 🤗 optimum-neuron

>>> from optimum.neuron import pipeline

>>> p = pipeline('text-generation', 'aws-neuron/Mistral-7B-Instruct-v0.1-neuron-4x2048-24-cores')
>>> p("My favorite place on earth is", max_new_tokens=64, do_sample=True, top_k=50)
[{'generated_text': 'My favorite place on earth is the ocean. It is where I feel most
at peace. I love to travel and see new places. I have a'}]

This repository contains tags specific to versions of neuronx. When using with 🤗 optimum-neuron, use the repo revision specific to the version of neuronx you are using, to load the right serialized checkpoints.

Arguments passed during export

input_shapes

{
  "batch_size": 4,
  "sequence_length": 2048,
}

compiler_args

{
  "auto_cast_type": "bf16",
  "num_cores": 24,
}