Scalable and modular framework for fine-tuning large language models (LLMs) using LoRA and QLoRA. Supports 4-bit/8-bit quantization, Hugging Face Transformers, and instruction-tuning workflows across various tasks and datasets. Built for reproducibility, extensibility, and efficient experimentation.
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Scalable and modular framework for fine-tuning large language models (LLMs) using LoRA and QLoRA. Supports 4-bit/8-bit quantization, Hugging Face Transformers, and instruction-tuning workflows across various tasks and datasets. Built for reproducibility, extensibility, and efficient experimentation.
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SCCSMARTCODE/Deep-Learning-03-LLM-FineTuning
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Scalable and modular framework for fine-tuning large language models (LLMs) using LoRA and QLoRA. Supports 4-bit/8-bit quantization, Hugging Face Transformers, and instruction-tuning workflows across various tasks and datasets. Built for reproducibility, extensibility, and efficient experimentation.
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