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- fixed error reporting in cm/cmx info artifact if artifact not found - added "cmx get repo" or "cmx get repo {repo alias}" or "cm get repo" (mlcommons#1405) - added support for PAT in "cmx pull repo {url}" (mlcommons#1381)
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cmx/mlperf-inference/v5.0/benchmarks/language/get-llama2-70b-data.md
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# Text Summarization using LLAMA2-70b | ||
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## Dataset | ||
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The benchmark implementation run command will automatically download the validation and calibration datasets and do the necessary preprocessing. In case you want to download only the datasets, you can use the below commands. | ||
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=== "Validation" | ||
LLAMA2-70b validation run uses the Open ORCA dataset. | ||
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### Get Validation Dataset | ||
``` | ||
mlcr get,dataset,openorca,validation -j | ||
``` | ||
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## Model | ||
The benchmark implementation run command will automatically download the required model and do the necessary conversions. In case you want to only download the official model, you can use the below commands. | ||
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Get the Official MLPerf LLAMA2-70b Model | ||
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=== "Pytorch" | ||
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### Pytorch | ||
``` | ||
mlcr get,ml-model,llama2-70b,_pytorch -j | ||
``` | ||
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!!! tip | ||
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Downloading llama2-70B model from Hugging Face will prompt you to enter the Hugging Face username and password. Please note that the password required is the [**access token**](https://huggingface.co/settings/tokens) generated for your account. Additionally, ensure that your account has access to the [llama2-70B](https://huggingface.co/meta-llama/Llama-2-70b-chat-hf) model. | ||
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