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1. Fine-Tune Llama 3.1 Ultra-Efficiently with Unsloth

   This article provides a comprehensive guide on fine-tuning the Llama 3.1 language model using Unsloth for efficient parameter-efficient training. It covers concepts like supervised fine-tuning, LoRA, QLoRA, and practical steps for training on a high-quality dataset.

   2024-07-30 Tags: llama 3.1, fine-tuning, unsloth, lora, qlora, parameter-efficient training, llm, nlp by klotz
2. Fine-Tuning LLM Models Course | freeCodeCamp.org

   This article announces a comprehensive course on fine-tuning large language models (LLMs) offered on the freeCodeCamp.org YouTube channel. The course, developed by Krish Naik, covers topics such as QLORA, LORA, quantization with LLama2, gradient, and Google Gemma Model, among others. The course aims to help learners deepen their understanding of machine learning and artificial intelligence.

   2024-05-24 Tags: freecodecamp, course, fine-tuning, llm, qlora, lora, quantization, llama2 by klotz
3. Finetune LLMs on your own consumer hardware using tools from PyTorch and Hugging Face ecosystem | PyTorch

   efficient method for fine-tuning LLM using LoRA and QLoRA, making it possible to train them even on consumer hardware

   2024-01-12 Tags: llm, fine tuning, qlora, lora, peft, pytorch, hugging face, fine-tuning, llms by klotz

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