Adding NXD and NKI example #26
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| # TinyLLama inference with NeuronX Distributed and Neuron Kernel Interface | |||
| In this example you can test [TinyLlama](https://huggingface.co/TinyLlama) from Hugging Face on AWS Trainium. This example was built on a trn1.2xlarge machine using this AMI: Deep Learning AMI Neuron (Ubuntu 22.04) 20240927. | |||
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Maybe “instance” rather than “machine”
| ### Test the script | ||
| Once you've installed all the packages and downloaded your model, you should be ready to test the script. This is done with `python run_llama.py`. | ||
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| This script will take at least 30 minutes to complete because it does the following: 1/ compile your model 2/ load to Neuron device 3/ test on Neuron 4/ compare accuracy 5/ run benchmark suite. |
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Nit: either
“it will do the following:” or the verbs in the list become plural (compiles, loads, etc…)
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Issue #, if available:
No issues.
Description of changes:
This adds a new example of NXD with TinyLLama and a custom NKI kernel for tensor addition. I've confirmed the kernel for accuracy and performance.
Testing:
Please see detailed unit test requirements in the CONTRIBUTING.md
nki.baremetalnki.benchmarkPull Request Checklist