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eyaler opened this issue Mar 30, 2022 · 2 comments
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Storing metadata for fine-tuned models #85

eyaler opened this issue Mar 30, 2022 · 2 comments
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enhancement New feature or request wontfix This will not be worked on

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@eyaler
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eyaler commented Mar 30, 2022 •
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I am fine tuning various models which have different styles of prompts. In inference I need to style the prompts adequately for each model. It would be great if it was possible to save a metadata or config json when creating the model, and retrieve it with the model. Otherwise I would need to either: (1) manage my own external database which is cumbersome when using google colab (2) hack the model suffix to encode my config params (let's not do that), or (3) reverse engineer my training jsonl to deduce the model's specific prompt styling, which is difficult. Any other options?
@hallacy hallacy added the enhancement New feature or request label May 18, 2022
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hallacy commented May 18, 2022

That sounds like a reasonably summary of the situation to me. I'll pass this request on to the fine tuning team

@hallacy hallacy added the wontfix This will not be worked on label Mar 7, 2023
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hallacy commented Mar 7, 2023

We don't plan to build out this feature, so closing the issue.

@hallacy hallacy closed this as completed Mar 7, 2023
baseprime pushed a commit to breezerfp/breeze-openai that referenced this issue Mar 20, 2024
@hallacy
Add embeddings endpoint (openai#85) (openai#36)
7227906
cgayapr pushed a commit to cgayapr/openai-python that referenced this issue Dec 14, 2024
@hallacy
Add embeddings endpoint (openai#85) (openai#36)
f767936
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@hallacy @eyaler