Tuning and Testing Llama 2, Flan-T5, and GPT-J with LoRA, Sematic, and Gradio

• training-code

  1 103 7.0 Python

  The code we currently use to fine-tune models.

  

https://github.com/PygmalionAI/training-code

Or, you can use this; for QLoRA

• qlora

  80 9,388 7.4 Jupyter Notebook

  QLoRA: Efficient Finetuning of Quantized LLMs

https://github.com/artidoro/qlora

The tools and mechanisms to get a model to do what you want is ever so changing, ever so quickly. Build and understand a notebook yourself, and reduce dependencies. You will need to switch them.

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

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