GitHub - artidoro/qlora: QLORA: Efficient Finetuning of Quantized LLMs

This page summarizes the projects mentioned and recommended in the original post on /r/LocalLLaMA

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  • qlora

    QLoRA: Efficient Finetuning of Quantized LLMs

  • can you send this to https://github.com/artidoro/qlora/issues? I'm not exactly the author.

  • alpaca_lora_4bit

  • I wonder how it compares with the already existing 4-bit finetuning at https://github.com/johnsmith0031/alpaca_lora_4bit , I tried it and indeed it can finetune Llama-65B with only 2x3090 (although it takes a week) and results are apparently good.

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  • bitsandbytes

    Accessible large language models via k-bit quantization for PyTorch.

  • it's in the current main branch on git, https://github.com/TimDettmers/bitsandbytes/blob/main/CHANGELOG.md, transformers same, https://github.com/huggingface/transformers/pull/23479

  • transformers

    🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  • it's in the current main branch on git, https://github.com/TimDettmers/bitsandbytes/blob/main/CHANGELOG.md, transformers same, https://github.com/huggingface/transformers/pull/23479

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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