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Add deployment to llm-complete
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safoinme
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Contributor
safoinme
commented
Dec 8, 2024
- Introduced local_deployment pipeline for deploying models locally.
- Added bento_deployment and bento_dockerizer steps for model containerization and deployment.
- Created .env.local file for model configuration.
- Updated rag_deployment and finetune_embeddings to include new parameters.
- Added Kubernetes template for service and deployment configuration.
- Introduced local_deployment pipeline for deploying models locally. - Added bento_deployment and bento_dockerizer steps for model containerization and deployment. - Created .env.local file for model configuration. - Updated rag_deployment and finetune_embeddings to include new parameters. - Added Kubernetes template for service and deployment configuration.
AlexejPenner
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Dec 9, 2024
llm-complete-guide/.env.local
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is this a file that should be commited?
llm-complete-guide/run.py
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@@ -251,7 +259,8 @@ def main( | |||
)() | |||
|
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elif pipeline == "deploy": | |||
rag_deployment.with_options(model=zenml_model, **pipeline_args)() | |||
#rag_deployment.with_options(model=zenml_model, **pipeline_args)() |
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maybe make this configurable somehow through click args
… Kubernetes configuration updates
…interface visualization
…/zenml-io/zenml-projects into misc/add-deployment-llm-complete
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