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low-memory-training

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Md-Emon-Hasan / Fine-Tuning

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End-to-end fine-tuning of Hugging Face models using LoRA, QLoRA, quantization, and PEFT techniques. Optimized for low-memory with efficient model deployment

nlp machine-learning natural-language-processing deep-learning transformers pytorch lora quantization model-training fine-tuning peft gpu-optimization huggingface gradient-checkpointing huggingface-datasets qlora bitsandbytes parameter-efficient-fine-tuning low-memory-training fp16-training
  • Updated Apr 2, 2025
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