Script for LLM benchmark - Humaneval #61
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chandrams
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Jul 23, 2024
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| # How to Run the LLM benchmark - Inference workload | |||
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Can you please add some description of the workload and references to it
human-eval-benchmark/Readme.md
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| ## 1. Using the Workbench | ||
| ## Pre-requisite | ||
| As of now the user needs to have access to openshift AI cluster, create a Data Science project and setup a workbench with the following configuration |
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Can you elaborate on openshift AI cluster. For example, an OCP cluster with GPU nodes and 'xyz' operator installed
human-eval-benchmark/Readme.md
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| Towards the end of the script B the user is prompted to fill the run duration, which is for how long the user wants to apply load or keep the model running, by default its set to 1hr (3600 sec). | ||
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| ## 2. Automated Job | ||
| In this approach we already have a combined script named `script.py`, and a Docker file which is used to create this docker image `quay.io/kruizehub/human-eval-deployment` whcih is used in the `job.yaml` file. |
human-eval-benchmark/Readme.md
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| Towards the end of the script B the user is prompted to fill the run duration, which is for how long the user wants to apply load or keep the model running, by default its set to 1hr (3600 sec). | ||
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| ## 2. Automated Job | ||
| In this approach we already have a combined script named `script.py`, and a Docker file which is used to create this docker image `quay.io/kruizehub/human-eval-deployment` whcih is used in the `job.yaml` file. |
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Is the namespace created as part of the job or user needs to create it?
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In my case it was already created
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You need to update the readme to create the namespace
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This pr contains a wip script for evaluating llm benchamrk.