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paulfg
Gold ⭐️
July 30, 2024
Solved

Are LLMs built into CML or do we only access them through huggingface

We're doing a bit of research here and trying to understand if LLMs are only available by accessing them through git and huggingface or whether there are some in built LLMs accessible using CML. 

Thank you

Mike
MikeAnswer
Gold ⭐️
July 30, 2024

Hi, you can build your own LLMs in CML, or you can access existing ones in huggingface. The HuggingFace ones can be installed as an AMP, see here: https://docs.cloudera.com/machine-learning/cloud/applied-ml-prototypes/topics/ml-huggingface.html#concept_gs1_vb4_21c

This is the quickest way to get started. The actual model is still stored on HF so if your cluster is airgapped you will have some trouble using the AMP feature - it's possible but is kind of a pain.

Cloudera does not SHIP any LLMs as far as I know.

4 replies

DianaTorres
Community Manager
Community Manager
July 30, 2024

@paulfg Welcome to the Cloudera Community!

To help you get the best possible solution, I have tagged our CML experts @bbreak @cravani  who may be able to assist you further.

Please keep us updated on your post, and we hope you find a satisfactory solution to your query.

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Regards, Diana Torres, Senior Community Moderator
DianaTorres
Community Manager
Community Manager
July 30, 2024

@Gopinath @Mike Do you have any insights here? Thanks!

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Regards, Diana Torres, Senior Community Moderator
Mike
Gold ⭐️
MikeAnswer
Gold ⭐️
July 30, 2024

Hi, you can build your own LLMs in CML, or you can access existing ones in huggingface. The HuggingFace ones can be installed as an AMP, see here: https://docs.cloudera.com/machine-learning/cloud/applied-ml-prototypes/topics/ml-huggingface.html#concept_gs1_vb4_21c

This is the quickest way to get started. The actual model is still stored on HF so if your cluster is airgapped you will have some trouble using the AMP feature - it's possible but is kind of a pain.

Cloudera does not SHIP any LLMs as far as I know.

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paulfg
paulfgAuthor
Gold ⭐️
August 1, 2024

Thanks Mike - I thought this was the case. 

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