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FineTuningLLMs (Models)
A Hands-On Guide to Fine-Tuning LLMs with PyTorch and Hugging Face. It focuses on key concepts that, in my view, have proven to be stable and are likely to remain central to the fine-tuning process for the foreseeable future: quantization, low-rank adapters, and formatting templates. | Jupyter Notebook | ⭐ 800 | Models
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[Models] dvgodoy/FineTuningLLMs — 800⭐
A Hands-On Guide to Fine-Tuning LLMs with PyTorch and Hugging Face. It focuses on key concepts that, in my view, have proven to be stable and are likely to remain central to the fine-tuning process for the foreseeable future: quantization, low-rank adapters, and formatting templates. Language: Jupyter Notebook | Stars: 800 | Category: Models Repository: https://github.com/dvgodoy/FineTuningLLMs
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