Comments (5)
@robertgshaw2-neuralmagic were you able to manage to load the 70b model using oci storage ?
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@yuzisun i managed to get it working with a 7b model!
Going to try it again in a multi node setup with this model scale then move onto the 70b
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@yuzisun is oci is the recommended pathway moving forward?
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@yuzisun is oci is the recommended pathway moving forward?
Not sure if it is best practice to store 130g model in an OCI image, the other alternative solution is to store the model on local NVMe volumes and load the model with PVC.
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That makes sense - I will try both
Just curious: is there a specific model size you recommend for the OCI images?
The docs suggest that this OCI pathway was built specifically for the LLM serving use case
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Related Issues (20)
- Support Multi-Node Inference and Serving.
- Release 0.14 Tracking HOT 1
- Storage initializer missing HOT 5
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- Kserve Storage-initializer Optimization HOT 3
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