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  1. OLMo

    Modeling, training, eval, and inference code for OLMo

    Agree that it's not exactly the same, all analogies have holes.

    I guess I'm vary of the messaging because I'm a developer 99% thanks to FOSS, and being able to learn from FOSS projects how to build similar stuff myself. Without FOSS, I probably wouldn't have been able to "escape" the working-class my family was "stuck in" when I grew up.

    I want to do whatever I can to make sure others have the same opportunity, and it doesn't matter if the weights themselves are FOSS or not, others cannot learn how to create their own models based on just looking at the weights. You need to be able to learn the model architecture, training and what datasets models are using too, otherwise you won't get very far.

    > This kind of purity test mindset doesn't help anyone. They are shipping the most modifiable form of their model.

    It does help others who might be stuck in the same situation I was stuck in, that's not nothing nor is it about "purity". They're not shipping the most open model they can, they could have done something like OLMo (https://github.com/allenai/OLMo) which can teach people how to build their own models from scratch.

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  3. llm

    Access large language models from the command-line

  4. inspect_ai

    Inspect: A framework for large language model evaluations

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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