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Merge pull request #4 from neuralmagic/model-centric-layout
model centric layout
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.github/pull_request_template.md

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SUMMARY:
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"please provide a brief summary"
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TEST PLAN:
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"please outline how the changes were tested"

README.md

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This repository contains configurations for model validation.
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The `accuracy` folder contains YAML files for each model that configures information needed for the model to be validated through the [llm-eval-test](https://github.com/openshift-psap/llm-eval-test). There are 4 config files for each model:
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The configs are organized by model. Each top level folder should be named after the model stub and contain `accuracy` and `performance` sub-folders. Both folders contain configs specific to the activity. Shared configs, e.g. `storage.yml` should be in the common area.
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The `accuracy` folder contains YAML configs needed for the model to be validated through the [llm-eval-test](https://github.com/openshift-psap/llm-eval-test). There are 3 config files for each model:
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* server.yml: contains settings to start a vllm server with the model
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* client.yml: contains settings for the llm-eval-test harness for the model
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* accuracy.yml: contains evaluation tasks and accuracy expectations for the model
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* storage.yml: specifies where mode and dataset is located
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The `benchmark` folder contains YAML files for each model that configures information needed for the model to be validated through the [guidellm](https://github.com/neuralmagic/guidellm). There are config files for each model:
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The `benchmark` folder contains YAML configs needed for the model to be validated through the [guidellm](https://github.com/neuralmagic/guidellm). There are 3 config files for each model:
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* server.yml: contains settings to start a vllm server with the model
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* client.yml: contains settings for the guidellm for the model
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* storage.yml: specifies where mode and dataset is located

benchmark/Meta-Llama-3.1-8B-Instruct/storage.yml

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